Vivek Subbiah

31.1k citations
599 papers · 12.2k · 9 hit papers · h-index 54

Impact in

  • Oncology top 0.2%
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • Cancer Immunotherapy and Biomarkers 78
    • Colorectal Cancer Treatments and Studies 62
    • CAR-T cell therapy research 43
    • Pancreatic and Hepatic Oncology Research 42
    • Lung Cancer Treatments and Mutations 138
    • Sarcoma Diagnosis and Treatment 64

Vivek Subbiah

554 papers receiving 12.1k citations

Vivek Subbiah's Hit Papers

The next generation of evidence-based medicine 2023 · 269 citations
2690+3+6Years since publication200400600

Peers

Vivek Subbiah
Comparison fields: 5 of 157
  • Oncology 6.0k
  • Cancer Research 3.1k
  • Pulmonary and Respiratory Medicine 4.6k
  • Pathology and Forensic Medicine 1.7k
  • Endocrinology, Diabetes and Metabolism 1.3k
Replace Christophe Massard with:
Christophe Massard France
Lisa Licitra Italy
Ezra E.W. Cohen United States
Heather A. Wakelee United States
Eliezer M. Van Allen United States
Antoîne Italiano France
Sara M. Tolaney United States
Aung Naing United States
Bhumsuk Keam South Korea
Sabino De Placido Italy
Vivek Subbiah relative to Christophe Massard France Christophe Massard's profile →
Citations per field
00.5×2.9×
Christophe Massard · 1×
Citations per year

Countries citing papers authored by Vivek Subbiah

Since Specialization
Citations

This map shows the geographic impact of Vivek Subbiah's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vivek Subbiah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Subbiah more than expected).

Fields of papers citing papers by Vivek Subbiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vivek Subbiah. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vivek Subbiah. The network helps show where Vivek Subbiah may publish in the future.

Co-authors

The 25 scholars most cited alongside Vivek Subbiah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vivek Subbiah Line = papers co-authored together Vivek Subbiah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 599 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dabrafenib and Trametinib Treatment in Patients With Locally Advanced or Metastatic BRAF V600–Mutant Anaplastic Thyroid Cancer
Hit paper breakdown →
2017607
2
Dabrafenib plus trametinib in patients with BRAFV600E-mutated biliary tract cancer (ROAR): a phase 2, open-label, single-arm, multicentre basket trial
Hit paper breakdown →
2020314
3
The next generation of evidence-based medicine
Hit paper breakdown →
2023269
4 2016251
5
Tumour-agnostic efficacy and safety of selpercatinib in patients with RET fusion-positive solid tumours other than lung or thyroid tumours (LIBRETTO-001): a phase 1/2, open-label, basket trial
Hit paper breakdown →
2022244
6 2020217
7 2016201
8
Real-world application of tumor mutational burden-high (TMB-high) and microsatellite instability (MSI) confirms their utility as immunotherapy biomarkers
Hit paper breakdown →
2021196
9
Dabrafenib plus trametinib in patients with BRAF V600E-mutant anaplastic thyroid cancer: updated analysis from the phase II ROAR basket study
Hit paper breakdown →
2022183
10 2020179
11 2020162
12 2016152
13 2016149
14
Pan-cancer efficacy of pralsetinib in patients with RET fusion–positive solid tumors from the phase 1/2 ARROW trial
Hit paper breakdown →
2022144
15 2021136
16 2022125
17 2009122
18
Selpercatinib in Patients With RET Fusion–Positive Non–Small-Cell Lung Cancer: Updated Safety and Efficacy From the Registrational LIBRETTO-001 Phase I/II Trial
Hit paper breakdown →
2022119
19 2009118
20 2017113

About Vivek Subbiah

Vivek Subbiah is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Pathology and Forensic Medicine, having authored 599 papers that have together received 12.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (157 papers), Lung Cancer Treatments and Mutations (138 papers), Cancer Immunotherapy and Biomarkers (78 papers), Sarcoma Diagnosis and Treatment (64 papers), Colorectal Cancer Treatments and Studies (62 papers), CAR-T cell therapy research (43 papers), Pancreatic and Hepatic Oncology Research (42 papers) and Melanoma and MAPK Pathways (41 papers). The work is most often cited by research in Oncology (6.0k citations), Cancer Research (3.1k citations), Pulmonary and Respiratory Medicine (4.6k citations), Pathology and Forensic Medicine (1.7k citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). Vivek Subbiah has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Razelle Kurzrock, Funda Meric‐Bernstam, David S. Hong, Filip Jankú, Aung Naing, Siqing Fu, Maria E. Cabanillas, Sarina A. Piha‐Paul, Apostolia M. Tsimberidou and Mohamed A. Gouda. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancer Research, Clinical Cancer Research and JCO Precision Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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