Syed G. Haider
- Reproductive Medicine top 2%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Norbert HofmannRobert J. BlanchardD. Caroline BlanchardRandall R. SakaiMatthew P. HardyChantal M. SottasChristina R. McKittrickKellie L. Tamashiro
- Topics
- Sperm and Testicular Function (16 papers)Aldose Reductase and Taurine (9 papers)Birth, Development, and Health (7 papers)
- Partner nations
- GermanyUnited StatesPakistan
In The Last Decade
Syed G. Haider
32 papers receiving 589 citations
Peers
Comparison fields: 5 of 80
- Reproductive Medicine 295
- Molecular Biology 163
- Endocrinology, Diabetes and Metabolism 140
- Genetics 135
- Public Health, Environmental and Occupational Health 108
Countries citing papers authored by Syed G. Haider
This map shows the geographic impact of Syed G. Haider'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 Syed G. Haider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Syed G. Haider more than expected).
Fields of papers citing papers by Syed G. Haider
This network shows the impact of papers produced by Syed G. Haider. 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 Syed G. Haider. The network helps show where Syed G. Haider may publish in the future.
Co-authorship network of co-authors of Syed G. Haider
This figure shows the co-authorship network connecting the top 25 collaborators of Syed G. Haider. A scholar is included among the top collaborators of Syed G. Haider 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 Syed G. Haider. Syed G. Haider 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 | 2 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 278 | |
| 6 | 106 | |
| 7 | 6 | |
| 8 | 26 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | In vitro effectiveness of estradiol-17 beta, androgens, corticosteroids, progesterone, and other pregnene derivatives on germinal vesicle breakdown in oocytes of the exotic common carp Cyprinus carpio (L.). | 2 |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | [Seasonal changes in the adenosine triphosphatase activity in the germinal cysts of the testis of the common frog Rana temporaria. An enzyme histochemical study]. | 3 |
| 20 | 2 |
About Syed G. Haider
Syed G. Haider is a scholar working on Reproductive Medicine, Physiology and Cell Biology, having authored 35 papers that have together received 606 indexed citations. Recurring topics across this work include Sperm and Testicular Function (16 papers), Aldose Reductase and Taurine (9 papers) and Birth, Development, and Health (7 papers). The work is most often cited by research in Reproductive Medicine (295 citations), Behavioral Neuroscience (68 citations) and Endocrinology, Diabetes and Metabolism (140 citations). Syed G. Haider has collaborated with scholars based in Germany, United States and Pakistan. Frequent co-authors include Norbert Hofmann, Robert J. Blanchard, D. Caroline Blanchard, Randall R. Sakai, Matthew P. Hardy, Chantal M. Sottas, Christina R. McKittrick, Kellie L. Tamashiro, Ren‐Shan Ge and Bruce S. McEwen. Their work appears in journals such as Biology of Reproduction, Journal of Histochemistry & Cytochemistry and Ageing Research Reviews.
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.