Sheikh Arslan Sehgal
- Molecular Biology top 10%
- Epidemiology top 10%
- Immunology top 10%
- Infectious Diseases top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Hao WuQuan ChenSami SirajRana Adnan TahirYanjun LiWeihua GaoQian LiuTing Zhang
- Topics
- Computational Drug Discovery Methods (18 papers)vaccines and immunoinformatics approaches (7 papers)Autophagy in Disease and Therapy (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEFree Radical Biology and Medicine
- Partner nations
- PakistanChinaSaudi Arabia
In The Last Decade
Sheikh Arslan Sehgal
49 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 710
- Epidemiology 347
- Immunology 298
- Infectious Diseases 183
- Computational Theory and Mathematics 175
Countries citing papers authored by Sheikh Arslan Sehgal
This map shows the geographic impact of Sheikh Arslan Sehgal'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 Sheikh Arslan Sehgal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheikh Arslan Sehgal more than expected).
Fields of papers citing papers by Sheikh Arslan Sehgal
This network shows the impact of papers produced by Sheikh Arslan Sehgal. 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 Sheikh Arslan Sehgal. The network helps show where Sheikh Arslan Sehgal may publish in the future.
Co-authorship network of co-authors of Sheikh Arslan Sehgal
This figure shows the co-authorship network connecting the top 25 collaborators of Sheikh Arslan Sehgal. A scholar is included among the top collaborators of Sheikh Arslan Sehgal 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 Sheikh Arslan Sehgal. Sheikh Arslan Sehgal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 5 | |
| 7 | 22 | |
| 8 | 18 | |
| 9 | 22 | |
| 10 | STING directly activates autophagy to tune the innate immune responsebreakdown → | 307 |
| 11 | 16 | |
| 12 | 233 | |
| 13 | 24 | |
| 14 | 45 | |
| 15 | 23 | |
| 16 | 8 | |
| 17 | 35 | |
| 18 | In silico Comparative Modeling of PapA1 and PapA2 Proteins Involved in Mycobacterium Tuberculosis Sulfolipid-1 Biosynthesis Pathway | 1 |
| 19 | Molecular Characterization of Wheat Genotypes Using SSR Markers | 8 |
| 20 | 3 |
About Sheikh Arslan Sehgal
Sheikh Arslan Sehgal is a scholar working on Computational Theory and Mathematics, Infectious Diseases and Biochemistry, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), vaccines and immunoinformatics approaches (7 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Immunology (298 citations), Computational Theory and Mathematics (175 citations) and Molecular Biology (710 citations). Sheikh Arslan Sehgal has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Hao Wu, Quan Chen, Sami Siraj, Rana Adnan Tahir, Yanjun Li, Weihua Gao, Qian Liu, Ting Zhang, Zhengfan Jiang and Huabin Tian. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Free Radical Biology and Medicine.
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.