Jiang-Ti Kong

Stanford University

$738,659

Attributed

$738,659

Total exposure

Grants

Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants. They are the sole PI on all grants (the two match).

Funding over time

peak $161.2K · FY2015–19

$200K$150K$100K$50K$0

'15

'16

'17

'18

'19

Funding mix

By agency

NIH$738,659 · 1

By mechanism

K23$738,659 · 1

Top collaborators

No co-investigators on record.

Most similar at Stanford University

Same institution · by research overlap

Others in their field

Top investigators on “Comorbidity”

Judith S. Currier · University Of California Los Angeles$289,742,226
Daniel R Kuritzkes · Brigham And Women'S Hospital$224,688,794
Joseph J. Eron · Univ Of North Carolina Chapel Hill$219,177,300
Sharon A Nachman · Johns Hopkins University$212,395,175
Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$130,117,932
Barbara Driver · Westat, Inc.$112,337,014

Research focus

ComorbidityAcupuncture AnalgesiaAcupuncture TherapyAftercareAmericanAnalgesicsAwardAffectBehavioralBehavior TestBiological MarkersCareerCaringCentral PainCharacteristicsChronic Low Back PainChronic PainBaseClinicClinical PracticeClinical ResearchClinical TrialsCognitiveConventional Therapy

Grant awards (5)

Predicting Analgesic Response to Acupuncture - A Practical Approach$161,150

K23 · FY2019 · AT · contact PI

Predicting Analgesic Response to Acupuncture - A Practical Approach$161,207

K23 · FY2018 · AT · contact PI

Predicting Analgesic Response to Acupuncture - A Practical Approach$161,120

K23 · FY2017 · AT · contact PI

Predicting Analgesic Response to Acupuncture - A Practical Approach$127,524

K23 · FY2016 · AT · contact PI

Predicting Analgesic Response to Acupuncture - A Practical Approach$127,658

K23 · FY2015 · AT · contact PI