G. Shankar

420 citations
20 papers · 296 · h-index 7

Impact in

    • Cell Adhesion Molecules Research
    • Cancer Immunotherapy and Biomarkers
    • Bone health and treatments
    • Lung Cancer Research Studies

Papers in

G. Shankar

20 papers receiving 289 citations

Peers

G. Shankar
Comparison fields: 5 of 55
  • Immunology and Allergy 40
  • Oncology 121
  • Cancer Research 37
  • Rheumatology 30
  • Anatomy 3
Replace Tatsuya Ishibe with:
Tatsuya Ishibe Japan
Ruchika Srinivasan United States
Olatz Crende Spain
Ángela Pollán Spain
Yuk Yu Chan United States
Rishi R. Rampersad United States
Michael Shi United States
Rita Gerard-O’Riley United States
Yuning J. Tang United States
Jean-Luc Schwachtgen France
G. Shankar relative to Tatsuya Ishibe Japan Tatsuya Ishibe's profile →
Citations per field
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Tatsuya Ishibe · 1×
Citations per year

Countries citing papers authored by G. Shankar

Since Specialization
Citations

This map shows the geographic impact of G. Shankar'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 G. Shankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Shankar more than expected).

Fields of papers citing papers by G. Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Shankar. 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 G. Shankar. The network helps show where G. Shankar may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Shankar, 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 G. Shankar Line = papers co-authored together G. Shankar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1996113
2 199269
3 201634
4 201119
5 202014
6 202012
7 20197
8 19944
9 20153
10 20123
11 20183
12 19933
13 20183
14 20232
15 20122
16 20251
17 20231
18 20221
19 20231
20 20111

About G. Shankar

G. Shankar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 296 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Genomics and Diagnostics (3 papers), Hearing Impairment and Communication (2 papers), Cancer Treatment and Pharmacology (2 papers), Hand Gesture Recognition Systems (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology and Allergy (40 citations), Oncology (121 citations), Cancer Research (37 citations), Rheumatology (30 citations) and Anatomy (3 citations). G. Shankar has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Stephen J. Foster, P. Lakatos, P. Štern, William T. Mason, Michael J. Barnes, Päivi T. Lakkakorpi, Sarah Bodary, M. A. Horton, H. Kalervo Väänänen and Donna L. Mendrick. Their work appears in journals such as Annals of Oncology, Bone, European Journal of Cancer, Journal of Clinical Oncology and Endocrinology.

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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