Ram Chander
Impact in
- Dermatology top 2%
- Dermatologic Treatments and Research
- Skin Protection and Aging
- Urology top 5%
- Hair Growth and Disorders
Papers in
- Dermatology 26
- Dermatologic Treatments and Research 10
- Cutaneous lymphoproliferative disorders research 7
- Epidemiology 23
- Nail Diseases and Treatments 11
- Co-authors
- Taru Garg (33 shared papers)Vibhu Mendiratta (28 shared papers)Pravesh Yadav (15 shared papers)Surajeet Kumar Patra (1 shared paper)Kiran Agarwal (1 shared paper)Neha Kawatra Madan (1 shared paper)Anju Jain (2 shared papers)Manjula Jain (5 shared papers)
- Journals
- Pediatric Dermatology (9 papers)Leprosy Review (3 papers)The Journal of Dermatology (3 papers)Journal of Cosmetic Dermatology (2 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Ram Chander
104 papers receiving 711 citations
Peers
Comparison fields: 5 of 96
- Dermatology 219
- Urology 73
- Cell Biology 158
- Infectious Diseases 110
- Microbiology 24
Countries citing papers authored by Ram Chander
This map shows the geographic impact of Ram Chander'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 Ram Chander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Chander more than expected).
Fields of papers citing papers by Ram Chander
This network shows the impact of papers produced by Ram Chander. 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 Ram Chander. The network helps show where Ram Chander may publish in the future.
Co-authors
The 25 scholars most cited alongside Ram Chander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 68 | |
| 2 | 2016 | 52 | |
| 3 | 2011 | 35 | |
| 4 | 2011 | 29 | |
| 5 | 2017 | 28 | |
| 6 | 2012 | 27 | |
| 7 | 2012 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2015 | 16 | |
| 10 | 2011 | 16 | |
| 11 | 2018 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2010 | 14 | |
| 14 | 2011 | 14 | |
| 15 | 2011 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2012 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2010 | 12 |
About Ram Chander
Ram Chander is a scholar working on Dermatology, Epidemiology, Genetics, Surgery and Cell Biology, having authored 117 papers that have together received 761 indexed citations. Recurring topics across this work include Genetic and rare skin diseases. (12 papers), Nail Diseases and Treatments (11 papers), Dermatologic Treatments and Research (10 papers), Dermatological and Skeletal Disorders (9 papers), melanin and skin pigmentation (8 papers), Hair Growth and Disorders (8 papers), Autoimmune Bullous Skin Diseases (8 papers) and Cutaneous lymphoproliferative disorders research (7 papers). The work is most often cited by research in Dermatology (219 citations), Urology (73 citations), Cell Biology (158 citations), Infectious Diseases (110 citations) and Microbiology (24 citations). Ram Chander has collaborated with scholars based in India and United States. Frequent co-authors include Taru Garg, Vibhu Mendiratta, Pravesh Yadav, Surajeet Kumar Patra, Kiran Agarwal, Neha Kawatra Madan, Anju Jain, Manjula Jain, Saurabh Mittal and Poonam Gupta. Their work appears in journals such as Pediatric Dermatology, Leprosy Review, The Journal of Dermatology, Journal of Cosmetic Dermatology and Journal of the European Academy of Dermatology and Venereology.
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.