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 31
- Dermatologic Treatments and Research 11
- Cutaneous lymphoproliferative disorders research 7
- Epidemiology 29
- Nail Diseases and Treatments 12
- Co-authors
- Taru Garg (33 shared papers)Vibhu Mendiratta (27 shared papers)Surajeet Kumar Patra (1 shared paper)Neha Kawatra Madan (1 shared paper)Kiran Agarwal (1 shared paper)Anju Jain (2 shared papers)Manjula Jain (5 shared papers)Saurabh Mittal (6 shared papers)
- Journals
- Pediatric Dermatology (9 papers)The Journal of Dermatology (3 papers)Leprosy Review (3 papers)Journal of the European Academy of Dermatology and Venereology (2 papers)Diagnostic Cytopathology (2 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Ram Chander
99 papers receiving 641 citations
Peers
Comparison fields: 5 of 97
- Dermatology 248
- Urology 76
- Cell Biology 162
- Infectious Diseases 109
- Microbiology 27
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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 67 | |
| 2 | 2016 | 46 | |
| 3 | 2011 | 33 | |
| 4 | 2012 | 27 | |
| 5 | 2011 | 27 | |
| 6 | 2017 | 27 | |
| 7 | 2012 | 20 | |
| 8 | 2017 | 17 | |
| 9 | 2011 | 16 | |
| 10 | 2018 | 14 | |
| 11 | 2019 | 13 | |
| 12 | 2011 | 12 | |
| 13 | 2010 | 12 | |
| 14 | 2011 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2010 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2008 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2015 | 11 |
About Ram Chander
Ram Chander is a scholar working on Dermatology, Epidemiology, Genetics, Surgery and Cell Biology, having authored 112 papers that have together received 675 indexed citations. Recurring topics across this work include Genetic and rare skin diseases. (13 papers), Nail Diseases and Treatments (12 papers), Dermatologic Treatments and Research (11 papers), Autoimmune Bullous Skin Diseases (10 papers), Dermatological and Skeletal Disorders (9 papers), melanin and skin pigmentation (8 papers), Hair Growth and Disorders (8 papers) and Cutaneous lymphoproliferative disorders research (7 papers). The work is most often cited by research in Dermatology (248 citations), Urology (76 citations), Cell Biology (162 citations), Infectious Diseases (109 citations) and Microbiology (27 citations). Ram Chander has collaborated with scholars based in India and United States. Frequent co-authors include Taru Garg, Vibhu Mendiratta, Surajeet Kumar Patra, Neha Kawatra Madan, Kiran Agarwal, Anju Jain, Manjula Jain, Saurabh Mittal, Poonam Gupta and Smita Singh. Their work appears in journals such as Pediatric Dermatology, The Journal of Dermatology, Leprosy Review, Journal of the European Academy of Dermatology and Venereology and Diagnostic Cytopathology.
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.