Amit Verma

1.2k total citations · 1 hit paper
30 papers, 729 citations indexed

About

Amit Verma is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Amit Verma has authored 30 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Amit Verma's work include Effects of Radiation Exposure (4 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Amit Verma is often cited by papers focused on Effects of Radiation Exposure (4 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Amit Verma collaborates with scholars based in United States, India and United Kingdom. Amit Verma's co-authors include Bilikere S. Dwarakanath, Abdullah Farooque, Anant Narayan Bhatt, Rohit Mathur, Rao V. Papineni, Wendy Stock, Seema Gupta, Hanumantharao G. Raj, Virinder S. Parmar and Saurabh Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Science.

In The Last Decade

Amit Verma

29 papers receiving 702 citations

Hit Papers

Technological advancements in cancer diagnostics: Improve... 2023 2026 2024 2025 2023 50 100 150

Peers

Amit Verma
Comparison fields: 5 of 99
  • Molecular Biology 266
  • Oncology 163
  • Radiology, Nuclear Medicine and Imaging 153
  • Cancer Research 120
  • Biomedical Engineering 120
Replace Veera Baladandayuthapani with:
Veera Baladandayuthapani United States
Narges K. Tafreshi United States
Jiawen Dai China
Raphaëlle Fanciullino France
Xiaofeng Li China
Andrea Molckovsky Canada
Oleg I. Kit Russia
Christophe Meille Switzerland
Chunyan Li China
Shujun Xia China
Veera Baladandayuthapani United States View profile →
Citations per field, relative to Amit Verma
Amit Verma · 1×
Citations per year, relative to Amit Verma
Amit Verma · 1×

Countries citing papers authored by Amit Verma

Since Specialization
Citations

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

Fields of papers citing papers by Amit Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Verma. A scholar is included among the top collaborators of Amit Verma 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 Verma. Amit Verma 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 2
2 7
3
Technological advancements in cancer diagnostics: Improvements and limitations breakdown →
159
4 48
5 7
6 2
7 2
8 1
9 62
10 12
11 30
12 5
13 9
14 60
15 16
16 10
17
Targeting protein acetylation for improving cancer therapy.
23
18 4
19 9
20 19

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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