Ankur Gautam
- Molecular Biology top 1%
- Microbiology top 0.2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Immunology top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Gajendra P. S. RaghavaKumardeep ChaudharyRahul KumarPallavi KapoorSudheer GuptaSandeep SinghAtul TyagiSalman Sadullah Usmani
- Topics
- Antimicrobial Peptides and Activities (15 papers)vaccines and immunoinformatics approaches (12 papers)Computational Drug Discovery Methods (9 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited States
In The Last Decade
Ankur Gautam
41 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 4.1k
- Microbiology 1.3k
- Radiology, Nuclear Medicine and Imaging 539
- Immunology 530
- Computational Theory and Mathematics 524
Countries citing papers authored by Ankur Gautam
This map shows the geographic impact of Ankur Gautam'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 Gautam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankur Gautam more than expected).
Fields of papers citing papers by Ankur Gautam
This network shows the impact of papers produced by Ankur Gautam. 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 Gautam. The network helps show where Ankur Gautam may publish in the future.
Co-authorship network of co-authors of Ankur Gautam
This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Gautam. A scholar is included among the top collaborators of Ankur Gautam 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 Gautam. Ankur Gautam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Implementation of RFID Application in Indian Institute of Technology, Kanpur. | 0 |
| 2 | Pyramidal Horn Antenna for S-band Application | 0 |
| 3 | 98 | |
| 4 | 46 | |
| 5 | 178 | |
| 6 | 20 | |
| 7 | 169 | |
| 8 | 67 | |
| 9 | 259 | |
| 10 | 172 | |
| 11 | 171 | |
| 12 | 248 | |
| 13 | 94 | |
| 14 | 258 | |
| 15 | 97 | |
| 16 | 123 | |
| 17 | In Silico Approach for Predicting Toxicity of Peptides and Proteinsbreakdown → | 1409 |
| 18 | 114 | |
| 19 | 6 | |
| 20 | 11 |
About Ankur Gautam
Ankur Gautam is a scholar working on Microbiology, Computational Theory and Mathematics and Molecular Biology, having authored 47 papers that have together received 4.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (15 papers), vaccines and immunoinformatics approaches (12 papers) and Computational Drug Discovery Methods (9 papers). The work is most often cited by research in Microbiology (1.3k citations), Molecular Biology (4.1k citations) and Biotechnology (353 citations). Ankur Gautam has collaborated with scholars based in India and United States. Frequent co-authors include Gajendra P. S. Raghava, Kumardeep Chaudhary, Rahul Kumar, Pallavi Kapoor, Sudheer Gupta, Sandeep Singh, Atul Tyagi, Salman Sadullah Usmani, Deepika Mathur and Abhishek Tuknait. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.