Ankur Garg
Impact in
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- RNA and protein synthesis mechanisms
- Fibroblast Growth Factor Research
- RNA modifications and cancer
- Protein Structure and Dynamics
Papers in
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- Fibroblast Growth Factor Research 6
- RNA and protein synthesis mechanisms 5
- Wnt/β-catenin signaling in development and cancer 3
- Phytochemical compounds biological activities 3
- Co-authors
- Xin Zhang (7 shared papers)S. P. S. Khanuja (8 shared papers)Udo Heinemann (2 shared papers)Sunil K. Chattopadhyay (7 shared papers)Xin Sun (3 shared papers)Pengfei Sui (3 shared papers)Jamie M. Verheyden (2 shared papers)Mahendra P. Darokar (3 shared papers)
- Journals
- eLife (3 papers)Molecular Cell (2 papers)RNA (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)PLoS Genetics (2 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ankur Garg
49 papers receiving 730 citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 341
- Virology 19
- Pharmacology 57
- Cancer Research 48
- Endocrinology, Diabetes and Metabolism 48
Countries citing papers authored by Ankur Garg
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
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-authors
The 25 scholars most cited alongside Ankur Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 54 | |
| 2 | 2013 | 50 | |
| 3 | 2019 | 48 | |
| 4 | 2013 | 40 | |
| 5 | 2023 | 35 | |
| 6 | 2003 | 34 | |
| 7 | 2005 | 30 | |
| 8 | 2017 | 28 | |
| 9 | 2012 | 27 | |
| 10 | 2013 | 26 | |
| 11 | 2006 | 25 | |
| 12 | 2014 | 25 | |
| 13 | 2010 | 24 | |
| 14 | 2017 | 23 | |
| 15 | 2018 | 23 | |
| 16 | 2013 | 21 | |
| 17 | 2012 | 20 | |
| 18 | 2011 | 19 | |
| 19 | 2007 | 19 | |
| 20 | 2013 | 18 |
About Ankur Garg
Ankur Garg is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Pharmacology and Oncology, having authored 56 papers that have together received 764 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (6 papers), RNA and protein synthesis mechanisms (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Natural Antidiabetic Agents Studies (3 papers), Botanical Research and Chemistry (3 papers), Phytochemical compounds biological activities (3 papers), Cancer Treatment and Pharmacology (3 papers) and Neonatal Respiratory Health Research (3 papers). The work is most often cited by research in Molecular Biology (341 citations), Virology (19 citations), Pharmacology (57 citations), Cancer Research (48 citations) and Endocrinology, Diabetes and Metabolism (48 citations). Ankur Garg has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Xin Zhang, S. P. S. Khanuja, Udo Heinemann, Sunil K. Chattopadhyay, Xin Sun, Pengfei Sui, Jamie M. Verheyden, Mahendra P. Darokar, Tanu Anand and Jugal Kishore. Their work appears in journals such as eLife, Molecular Cell, RNA, Bioorganic & Medicinal Chemistry Letters and PLoS Genetics.
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.