Eric Mukherjee
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Rheumatology top 10%
- Urticaria and Related Conditions
Papers in
-
- Autoimmune Bullous Skin Diseases 9
-
- Urticaria and Related Conditions 7
- Co-authors
- Aimee Payne (6 shared papers)Christoph T. Ellebrecht (6 shared papers)Charles E. Lawrence (1 shared paper)Christoph Schorl (1 shared paper)Xuming Mao (4 shared papers)Nan Jiang (1 shared paper)Stephen L. Helfand (1 shared paper)Cheng-Yi Chang (1 shared paper)
- Journals
- Cell Reports (2 papers)The Yale Journal of Biology and Medicine (2 papers)Journal of Allergy and Clinical Immunology (1 paper)Nature Communications (1 paper)Allergology International (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Eric Mukherjee
16 papers receiving 409 citations
Peers
Comparison fields: 5 of 77
- Aging 47
- Rheumatology 109
- Pathology and Forensic Medicine 121
- Genetics 65
- Pharmacology 49
Countries citing papers authored by Eric Mukherjee
This map shows the geographic impact of Eric Mukherjee'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 Eric Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Mukherjee more than expected).
Fields of papers citing papers by Eric Mukherjee
This network shows the impact of papers produced by Eric Mukherjee. 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 Eric Mukherjee. The network helps show where Eric Mukherjee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Mukherjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 139 | |
| 2 | 2014 | 43 | |
| 3 | 2023 | 42 | |
| 4 | 2017 | 37 | |
| 5 | 2021 | 27 | |
| 6 | 2017 | 21 | |
| 7 | 2016 | 20 | |
| 8 | 2016 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2024 | 18 | |
| 11 | Janeway’s Immunobiology, Ninth Edition. | 2016 | 13 |
| 12 | 2020 | 5 | |
| 13 | Tailoring the Treatment of Melanoma: Implications for Personalized Medicine. | 2015 | 4 |
| 14 | Principles of Neurobiology. | 2016 | 1 |
| 15 | 2025 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Eric Mukherjee
Eric Mukherjee is a scholar working on Pathology and Forensic Medicine, Rheumatology, Pharmacology, Genetics and Molecular Biology, having authored 17 papers that have together received 411 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (9 papers), Urticaria and Related Conditions (7 papers), Drug-Induced Adverse Reactions (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Contact Dermatitis and Allergies (2 papers), Platelet Disorders and Treatments (2 papers), Cancer Genomics and Diagnostics (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Aging (47 citations), Rheumatology (109 citations), Pathology and Forensic Medicine (121 citations), Genetics (65 citations) and Pharmacology (49 citations). Eric Mukherjee has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Aimee Payne, Christoph T. Ellebrecht, Charles E. Lawrence, Christoph Schorl, Xuming Mao, Nan Jiang, Stephen L. Helfand, Cheng-Yi Chang, Jason G. Wood and Sara Hillenmeyer. Their work appears in journals such as Cell Reports, The Yale Journal of Biology and Medicine, Journal of Allergy and Clinical Immunology, Nature Communications and Allergology International.
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.