Harsh Mohan
Impact in
- Dermatology top 2%
- Cancer and Skin Lesions
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
- Co-authors
- Uma Handa (64 shared papers)Rajpal Singh Punia (46 shared papers)Amanjit Bal (22 shared papers)Ashok K. Attri (5 shared papers)Anita Tahlan (6 shared papers)Nitin M. Nagarkar (5 shared papers)Arjun Dass (11 shared papers)Sukant Garg (5 shared papers)
- Journals
- Diagnostic Cytopathology (19 papers)Acta Cytologica (13 papers)Australian and New Zealand Journal of Obstetrics and Gynaecology (6 papers)Archives of Gynecology and Obstetrics (4 papers)Pediatric Dermatology (3 papers)
- Partner nations
- IndiaJapanUnited States
In The Last Decade
Harsh Mohan
209 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 120
- Dermatology 187
- Reproductive Medicine 149
- Pathology and Forensic Medicine 305
- Surgery 723
- Rheumatology 209
Countries citing papers authored by Harsh Mohan
This map shows the geographic impact of Harsh Mohan'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 Harsh Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harsh Mohan more than expected).
Fields of papers citing papers by Harsh Mohan
This network shows the impact of papers produced by Harsh Mohan. 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 Harsh Mohan. The network helps show where Harsh Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Harsh Mohan, 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 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 81 | |
| 2 | 2006 | 67 | |
| 3 | Evaluation of iron stores in blood donors by serum ferritin. | 2006 | 60 |
| 4 | 2006 | 60 | |
| 5 | 2006 | 54 | |
| 6 | 2007 | 53 | |
| 7 | 2005 | 52 | |
| 8 | 2010 | 50 | |
| 9 | 2006 | 48 | |
| 10 | 2006 | 45 | |
| 11 | 2005 | 45 | |
| 12 | 2003 | 44 | |
| 13 | 2001 | 37 | |
| 14 | 2008 | 36 | |
| 15 | 2006 | 35 | |
| 16 | 2008 | 31 | |
| 17 | 1999 | 29 | |
| 18 | 2008 | 28 | |
| 19 | 2001 | 27 | |
| 20 | 2009 | 27 |
About Harsh Mohan
Harsh Mohan is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Pathology and Forensic Medicine, having authored 251 papers that have together received 2.1k indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (13 papers), Cancer and Skin Lesions (13 papers), Tumors and Oncological Cases (10 papers), Sarcoma Diagnosis and Treatment (10 papers), Cancer Diagnosis and Treatment (8 papers), Oral and Maxillofacial Pathology (8 papers), Infectious Diseases and Tuberculosis (8 papers) and Urologic and reproductive health conditions (7 papers). The work is most often cited by research in Dermatology (187 citations), Reproductive Medicine (149 citations), Pathology and Forensic Medicine (305 citations), Surgery (723 citations) and Rheumatology (209 citations). Harsh Mohan has collaborated with scholars based in India, Japan and United States. Frequent co-authors include Uma Handa, Rajpal Singh Punia, Amanjit Bal, Ashok K. Attri, Anita Tahlan, Nitin M. Nagarkar, Arjun Dass, Sukant Garg, Annu Nanda and Sukhjot Kaur. Their work appears in journals such as Diagnostic Cytopathology, Acta Cytologica, Australian and New Zealand Journal of Obstetrics and Gynaecology, Archives of Gynecology and Obstetrics and Pediatric Dermatology.
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.