Umme Salma
- Obstetrics and Gynecology top 10%
- Molecular Biology
- Surgery
- Public Health, Environmental and Occupational Health
- Reproductive Medicine top 10%
- Co-authors
- Md Sayed Ali SheikhDabao XuMin XueSalman A. KhanNazmul HaqueM. ThomsonAnthony WalshE. Scott Sills
- Topics
- Molecular Sensors and Ion Detection (9 papers)Assisted Reproductive Technology and Twin Pregnancy (7 papers)Gynecological conditions and treatments (6 papers)
- Partner nations
- Saudi ArabiaIndiaIreland
In The Last Decade
Umme Salma
45 papers receiving 331 citations
Peers
Comparison fields: 5 of 108
- Obstetrics and Gynecology 84
- Molecular Biology 60
- Surgery 57
- Public Health, Environmental and Occupational Health 43
- Reproductive Medicine 43
Countries citing papers authored by Umme Salma
This map shows the geographic impact of Umme Salma'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 Umme Salma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umme Salma more than expected).
Fields of papers citing papers by Umme Salma
This network shows the impact of papers produced by Umme Salma. 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 Umme Salma. The network helps show where Umme Salma may publish in the future.
Co-authorship network of co-authors of Umme Salma
This figure shows the co-authorship network connecting the top 25 collaborators of Umme Salma. A scholar is included among the top collaborators of Umme Salma 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 Umme Salma. Umme Salma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 34 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 21 | |
| 13 | Comparative study on the quality and safety aspects of Climbing perch (Anabas testudineus) and Nile tilapia (Oreochromis niloticus) from pond and openwater of Mymensingh, Bangladesh | 1 |
| 14 | 1 | |
| 15 | Observational study of new treatment proposal for severe intrauterine adhesion | 6 |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | 3 | |
| 20 | 4 |
About Umme Salma
Umme Salma is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Behavioral Neuroscience, having authored 49 papers that have together received 358 indexed citations. Recurring topics across this work include Molecular Sensors and Ion Detection (9 papers), Assisted Reproductive Technology and Twin Pregnancy (7 papers) and Gynecological conditions and treatments (6 papers). The work is most often cited by research in Obstetrics and Gynecology (84 citations), Reproductive Medicine (43 citations) and Spectroscopy (39 citations). Umme Salma has collaborated with scholars based in Saudi Arabia, India and Ireland. Frequent co-authors include Md Sayed Ali Sheikh, Dabao Xu, Min Xue, Salman A. Khan, Nazmul Haque, M. Thomson, Anthony Walsh, E. Scott Sills, David J. Walsh and Abdulrahman Alduraywish. Their work appears in journals such as BioMed Research International, Oxidative Medicine and Cellular Longevity and Cells.
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.