Shafiq A. Khan
- Molecular Biology top 10%
- Reproductive Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Ana C. MillenaEberhard NieschlagBaoHan T. VoViqar SyedMing‐Fong LinJennifer H. DorringtonE. Martin RitzénE. Diczfalusy
- Topics
- Sperm and Testicular Function (20 papers)Reproductive Biology and Fertility (13 papers)TGF-β signaling in diseases (13 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesSwedenIndia
In The Last Decade
Shafiq A. Khan
94 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.0k
- Reproductive Medicine 931
- Endocrinology, Diabetes and Metabolism 480
- Genetics 463
- Public Health, Environmental and Occupational Health 449
Countries citing papers authored by Shafiq A. Khan
This map shows the geographic impact of Shafiq A. Khan'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 Shafiq A. Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shafiq A. Khan more than expected).
Fields of papers citing papers by Shafiq A. Khan
This network shows the impact of papers produced by Shafiq A. Khan. 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 Shafiq A. Khan. The network helps show where Shafiq A. Khan may publish in the future.
Co-authorship network of co-authors of Shafiq A. Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Shafiq A. Khan. A scholar is included among the top collaborators of Shafiq A. Khan 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 Shafiq A. Khan. Shafiq A. Khan 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 | 0 | |
| 3 | 12 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 44 | |
| 8 | 14 | |
| 9 | 24 | |
| 10 | 23 | |
| 11 | 39 | |
| 12 | Thiotriazolones A new class of potent antifungal agents | 2 |
| 13 | Developing a laboratory animal model for perinatal endocrine disruption: the hamster chronicles | 2 |
| 14 | 60 | |
| 15 | 10 | |
| 16 | 29 | |
| 17 | 8 | |
| 18 | 105 | |
| 19 | 34 | |
| 20 | 3 |
About Shafiq A. Khan
Shafiq A. Khan is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 96 papers that have together received 2.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (20 papers), Reproductive Biology and Fertility (13 papers) and TGF-β signaling in diseases (13 papers). The work is most often cited by research in Reproductive Medicine (931 citations), Endocrinology, Diabetes and Metabolism (480 citations) and Cancer Research (319 citations). Shafiq A. Khan has collaborated with scholars based in United States, Sweden and India. Frequent co-authors include Ana C. Millena, Eberhard Nieschlag, BaoHan T. Vo, Viqar Syed, Ming‐Fong Lin, Jennifer H. Dorrington, E. Martin Ritzén, E. Diczfalusy, Katja J. Teerds and Olof Söder. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.