Bina Kassamali
- General Health Professions
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Dermatology top 10%
- Oncology
- Co-authors
- Avery LaChanceMichelle S. LeeVinod E. NambudiriCarol MitaLisa N. GuoDaniel R. MazoriMichelle S. MinAlice J. Tan
- Topics
- Systemic Sclerosis and Related Diseases (5 papers)Autoimmune Bullous Skin Diseases (4 papers)Skin Protection and Aging (4 papers)
- Cited by
- Health InformaticsDermatologyHealth
- Journals
- Journal of Investigative DermatologyJournal of the American Academy of DermatologyMedical Teacher
- Partner nations
- United StatesPuerto RicoNetherlands
In The Last Decade
Bina Kassamali
30 papers receiving 338 citations
Peers
Comparison fields: 5 of 90
- General Health Professions 88
- Public Health, Environmental and Occupational Health 78
- Cardiology and Cardiovascular Medicine 68
- Dermatology 44
- Oncology 42
Countries citing papers authored by Bina Kassamali
This map shows the geographic impact of Bina Kassamali'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 Bina Kassamali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bina Kassamali more than expected).
Fields of papers citing papers by Bina Kassamali
This network shows the impact of papers produced by Bina Kassamali. 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 Bina Kassamali. The network helps show where Bina Kassamali may publish in the future.
Co-authorship network of co-authors of Bina Kassamali
This figure shows the co-authorship network connecting the top 25 collaborators of Bina Kassamali. A scholar is included among the top collaborators of Bina Kassamali 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 Bina Kassamali. Bina Kassamali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 67 | |
| 11 | 1 | |
| 12 | 52 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 43 | |
| 20 | 64 |
About Bina Kassamali
Bina Kassamali is a scholar working on Dermatology, Family Practice and Pathology and Forensic Medicine, having authored 34 papers that have together received 350 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (5 papers), Autoimmune Bullous Skin Diseases (4 papers) and Skin Protection and Aging (4 papers). The work is most often cited by research in Health Informatics (21 citations), Dermatology (44 citations) and Health (34 citations). Bina Kassamali has collaborated with scholars based in United States, Puerto Rico and Netherlands. Frequent co-authors include Avery LaChance, Michelle S. Lee, Vinod E. Nambudiri, Carol Mita, Lisa N. Guo, Daniel R. Mazori, Michelle S. Min, Alice J. Tan, Guohai Zhou and Mehdi Rashighi. Their work appears in journals such as Journal of Investigative Dermatology, Journal of the American Academy of Dermatology and Medical Teacher.
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.