Richard Shikiar
- Immunology top 10%
- Dermatology top 2%
- General Health Professions top 5%
- Physiology top 10%
- Economics and Econometrics top 5%
- Co-authors
- Anne M. RentzMichael T. HalpernDennis A. RevickiMartin M. OkunMary Kaye WillianZeba KhanChristine S. ThompsonZeba M. Khan
- Topics
- Dermatology and Skin Diseases (5 papers)Pain Management and Opioid Use (3 papers)Workplace Health and Well-being (3 papers)
- Cited by
- DermatologyFamily PracticeImmunology
- Journals
- Journal of Applied PsychologyJournal of the American Geriatrics SocietyJournal of Vocational Behavior
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Richard Shikiar
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Immunology 311
- Dermatology 294
- General Health Professions 268
- Physiology 211
- Economics and Econometrics 203
Countries citing papers authored by Richard Shikiar
This map shows the geographic impact of Richard Shikiar'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 Richard Shikiar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Shikiar more than expected).
Fields of papers citing papers by Richard Shikiar
This network shows the impact of papers produced by Richard Shikiar. 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 Richard Shikiar. The network helps show where Richard Shikiar may publish in the future.
Co-authorship network of co-authors of Richard Shikiar
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Shikiar. A scholar is included among the top collaborators of Richard Shikiar 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 Richard Shikiar. Richard Shikiar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 73 | |
| 3 | 33 | |
| 4 | 178 | |
| 5 | 43 | |
| 6 | 79 | |
| 7 | 13 | |
| 8 | 200 | |
| 9 | 98 | |
| 10 | 110 | |
| 11 | 184 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 17 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 2 |
About Richard Shikiar
Richard Shikiar is a scholar working on Computational Mathematics, Dermatology and Anesthesiology and Pain Medicine, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (5 papers), Pain Management and Opioid Use (3 papers) and Workplace Health and Well-being (3 papers). The work is most often cited by research in Dermatology (294 citations), Family Practice (47 citations) and Immunology (311 citations). Richard Shikiar has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Anne M. Rentz, Michael T. Halpern, Dennis A. Revicki, Martin M. Okun, Mary Kaye Willian, Zeba Khan, Christine S. Thompson, Zeba M. Khan, Michael J. Leahy and Gale Harding. Their work appears in journals such as Journal of Applied Psychology, Journal of the American Geriatrics Society and Journal of Vocational Behavior.
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.