Amit Garg

1.5k total citations · 2 hit papers
39 papers, 1.1k citations indexed

About

Amit Garg is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Amit Garg has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 18 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in Amit Garg's work include HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Peptidase Inhibition and Analysis (8 papers). Amit Garg is often cited by papers focused on HER2/EGFR in Cancer Research (18 papers), Monoclonal and Polyclonal Antibodies Research (18 papers) and Peptidase Inhibition and Analysis (8 papers). Amit Garg collaborates with scholars based in United States, United Kingdom and Japan. Amit Garg's co-authors include Joseph P. Balthasar, A Ayyagarí, Bert L. Lum, Hanbin Li, Pierfrancesco Tassone, Paulo M. Hoff, Jorge Barriuso, Ron Yu, Daisuke Wada and Manish A. Shah and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Amit Garg

38 papers receiving 1.1k citations

Hit Papers

Efficacy and safety of bimekizumab in patients with moder... 2024 2026 2025 2024 2025 20 40 60

Peers

Amit Garg
Comparison fields: 5 of 83
  • Radiology, Nuclear Medicine and Imaging 417
  • Oncology 372
  • Molecular Biology 325
  • Surgery 180
  • Pulmonary and Respiratory Medicine 153
Hyunee Yim South Korea
Roger Strair United States
Nobuhiro Kanaji Japan
Louis W.C. Chow China
Dolores Gallardo‐Rincón Mexico
Ravi D. Rao United States
Tzong‐Shin Tzai Taiwan
R. Brian Mitchell United States
W.F. Knox United Kingdom
Alberts Ds United States
Hyunee Yim South Korea View profile →
Citations per field, relative to Amit Garg
Amit Garg · 1×
Citations per year, relative to Amit Garg
Amit Garg · 1×

Countries citing papers authored by Amit Garg

Since Specialization
Citations

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

Fields of papers citing papers by Amit Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Garg. A scholar is included among the top collaborators of Amit Garg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amit Garg. Amit Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 4
5 11
6 3
7 9
8 36
9 9
10 27
11 28
12 20
13 75
14 3
15 49
16 6
17 19
18
黒皮症:包括的最新情報:パートII
65
19 11
20 33

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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