Ankur Garg

111 total papers · 1.2k total citations
52 papers, 733 citations indexed

About

Ankur Garg is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, Ankur Garg has authored 52 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Infectious Diseases. Recurrent topics in Ankur Garg's work include RNA and protein synthesis mechanisms (4 papers), Fibroblast Growth Factor Research (4 papers) and Cancer Treatment and Pharmacology (3 papers). Ankur Garg is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Fibroblast Growth Factor Research (4 papers) and Cancer Treatment and Pharmacology (3 papers). Ankur Garg collaborates with scholars based in India, United States and Canada. Ankur Garg's co-authors include Xin Zhang, S. P. S. Khanuja, Udo Heinemann, Xin Sun, Sunil K. Chattopadhyay, Pengfei Sui, Jamie M. Verheyden, Mahendra P. Darokar, Tanu Anand and Jugal Kishore and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ankur Garg

48 papers receiving 697 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ankur Garg 347 82 73 64 64 52 733
Yu Li 385 1.1× 50 0.6× 56 0.8× 88 1.4× 79 1.2× 47 857
Yijie Li 289 0.8× 83 1.0× 71 1.0× 124 1.9× 54 0.8× 84 802
Dandan Chen 314 0.9× 40 0.5× 60 0.8× 84 1.3× 57 0.9× 50 802
Yazeed A. Al‐Sheikh 300 0.9× 56 0.7× 112 1.5× 56 0.9× 85 1.3× 64 870
Sandhya Singh 263 0.8× 72 0.9× 52 0.7× 50 0.8× 51 0.8× 34 828
Fabíola Branco Filippin-Monteiro 275 0.8× 44 0.5× 67 0.9× 42 0.7× 38 0.6× 46 871
Ashraf Ali 309 0.9× 54 0.7× 71 1.0× 158 2.5× 65 1.0× 49 896
Shahid Raza 271 0.8× 52 0.6× 74 1.0× 72 1.1× 31 0.5× 62 854
D. Kumar 172 0.5× 58 0.7× 106 1.5× 49 0.8× 58 0.9× 57 826
Haixia Li 257 0.7× 49 0.6× 80 1.1× 118 1.8× 39 0.6× 65 882

Countries citing papers authored by Ankur Garg

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Garg. A scholar is included among the top collaborators of Ankur 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 Ankur Garg. Ankur Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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