Atul Tyagi
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Neurology top 5%
Papers in
- Surgery 14
-
- Cerebrospinal fluid and hydrocephalus 12
- Co-authors
- Gajendra P. S. Raghava (6 shared papers)Ankur Gautam (4 shared papers)Kumardeep Chaudhary (4 shared papers)Rahul Kumar (4 shared papers)Pallavi Kapoor (4 shared papers)Paul Chumas (20 shared papers)Arun Sharma (3 shared papers)Minakshi Sharma (1 shared paper)
- Journals
- Child s Nervous System (9 papers)Acta Neurochirurgica (5 papers)Journal of Neurosurgery Pediatrics (3 papers)Journal of neurosurgery (3 papers)Scientific Reports (3 papers)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Atul Tyagi
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 90
- Microbiology 445
- Neurology 272
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 235
- Computational Theory and Mathematics 124
Countries citing papers authored by Atul Tyagi
This map shows the geographic impact of Atul Tyagi'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 Atul Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Tyagi more than expected).
Fields of papers citing papers by Atul Tyagi
This network shows the impact of papers produced by Atul Tyagi. 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 Atul Tyagi. The network helps show where Atul Tyagi may publish in the future.
Co-authors
The 25 scholars most cited alongside Atul Tyagi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 301 | |
| 2 | 2013 | 262 | |
| 3 | 2013 | 253 | |
| 4 | 2012 | 165 | |
| 5 | 2001 | 117 | |
| 6 | 2013 | 69 | |
| 7 | 2018 | 59 | |
| 8 | 2020 | 58 | |
| 9 | 2012 | 56 | |
| 10 | 2008 | 54 | |
| 11 | 2008 | 41 | |
| 12 | 2000 | 37 | |
| 13 | 2001 | 36 | |
| 14 | 2011 | 30 | |
| 15 | 2020 | 28 | |
| 16 | 2014 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2012 | 19 | |
| 20 | 2010 | 18 |
About Atul Tyagi
Atul Tyagi is a scholar working on Surgery, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cerebrospinal fluid and hydrocephalus (12 papers), Advanced Radiotherapy Techniques (7 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), RNA Interference and Gene Delivery (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Radiation Therapy and Dosimetry (4 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Microbiology (445 citations), Neurology (272 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (235 citations) and Computational Theory and Mathematics (124 citations). Atul Tyagi has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Gajendra P. S. Raghava, Ankur Gautam, Kumardeep Chaudhary, Rahul Kumar, Pallavi Kapoor, Paul Chumas, Arun Sharma, Minakshi Sharma, Sandeep Singh and Abhishek Tuknait. Their work appears in journals such as Child s Nervous System, Acta Neurochirurgica, Journal of Neurosurgery Pediatrics, Journal of neurosurgery and Scientific Reports.
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.