Khurshid Ahmad
- Molecular Biology top 5%
- Physiology top 5%
- Materials Chemistry top 10%
- Surgery top 10%
- Computational Theory and Mathematics top 1%
- Co-authors
- Inho ChoiMohammad Hassan BaigEun Ju LeeSibhghatulla ShaikhGulam RabbaniSyed Sayeed AhmadJeong Ho LimSyed Mohd Danish Rizvi
- Topics
- Muscle Physiology and Disorders (24 papers)Computational Drug Discovery Methods (16 papers)Pharmacological Effects of Natural Compounds (8 papers)
- Journals
- PLoS ONECancerScientific Reports
- Partner nations
- South KoreaIndiaSaudi Arabia
In The Last Decade
Khurshid Ahmad
132 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 1.6k
- Physiology 438
- Materials Chemistry 420
- Surgery 384
- Computational Theory and Mathematics 379
Countries citing papers authored by Khurshid Ahmad
This map shows the geographic impact of Khurshid Ahmad'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 Khurshid Ahmad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khurshid Ahmad more than expected).
Fields of papers citing papers by Khurshid Ahmad
This network shows the impact of papers produced by Khurshid Ahmad. 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 Khurshid Ahmad. The network helps show where Khurshid Ahmad may publish in the future.
Co-authorship network of co-authors of Khurshid Ahmad
This figure shows the co-authorship network connecting the top 25 collaborators of Khurshid Ahmad. A scholar is included among the top collaborators of Khurshid Ahmad 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 Khurshid Ahmad. Khurshid Ahmad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 39 | |
| 7 | 5 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 12 | |
| 12 | 18 | |
| 13 | 13 | |
| 14 | 16 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 1 | |
| 18 | Screening of plant-derived natural compounds as potent chemotherapeutic agents against breast cancer: An in silico approach | 3 |
| 19 | 56 | |
| 20 | 4 |
About Khurshid Ahmad
Khurshid Ahmad is a scholar working on Otorhinolaryngology, Pharmacology and Computational Theory and Mathematics, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (24 papers), Computational Drug Discovery Methods (16 papers) and Pharmacological Effects of Natural Compounds (8 papers). The work is most often cited by research in Computational Theory and Mathematics (379 citations), Molecular Biology (1.6k citations) and Pharmacology (196 citations). Khurshid Ahmad has collaborated with scholars based in South Korea, India and Saudi Arabia. Frequent co-authors include Inho Choi, Mohammad Hassan Baig, Eun Ju Lee, Sibhghatulla Shaikh, Gulam Rabbani, Syed Sayeed Ahmad, Inho Choi, Jeong Ho Lim, Syed Mohd Danish Rizvi and Nazia Nazam. Their work appears in journals such as PLoS ONE, Cancer 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.