Paul K. J. Han
- Family Practice top 0.1%
- Clinical Reasoning and Diagnostic Skills 22
- General Decision Sciences top 1%
- Applied Psychology top 0.5%
- Optimism, Hope, and Well-being 13
- General Health Professions top 0.2%
- Patient-Provider Communication in Healthcare 56
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- Palliative Care and End-of-Life Issues 38
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- Global Cancer Incidence and Screening 38
- Colorectal Cancer Screening and Detection 15
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- BRCA gene mutations in cancer 26
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- Health Systems, Economic Evaluations, Quality of Life 15
- Co-authors
- William M. P. KleinWendy L. NelsonValerie F. ReynaNathan F. DieckmannNeeraj K. AroraN. K. AroraCaitlin GutheilRichard P. Moser
- Journals
- Journal of Clinical Oncology (3 papers)Psychological Bulletin (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Paul K. J. Han
207 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 203
- Family Practice 777
- General Decision Sciences 378
- Applied Psychology 783
- General Health Professions 3.0k
- Public Health, Environmental and Occupational Health 2.3k
Countries citing papers authored by Paul K. J. Han
This map shows the geographic impact of Paul K. J. Han'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 Paul K. J. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul K. J. Han more than expected).
Fields of papers citing papers by Paul K. J. Han
This network shows the impact of papers produced by Paul K. J. Han. 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 Paul K. J. Han. The network helps show where Paul K. J. Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul K. J. Han, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 34 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 12 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 73 | |
| 16 | 2021 | 5 | |
| 17 | 2021 | 112 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 23 | |
| 20 | Preparation of anti-resistin peptide antibody | 2005 | 1 |
About Paul K. J. Han
Paul K. J. Han is a scholar working on Family Practice, Applied Psychology and General Health Professions, having authored 223 papers that have together received 9.5k indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (56 papers), Palliative Care and End-of-Life Issues (38 papers), Global Cancer Incidence and Screening (38 papers), BRCA gene mutations in cancer (26 papers), Clinical Reasoning and Diagnostic Skills (22 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Colorectal Cancer Screening and Detection (15 papers) and Optimism, Hope, and Well-being (13 papers). The work is most often cited by research in Family Practice (777 citations), General Decision Sciences (378 citations) and Applied Psychology (783 citations). Paul K. J. Han has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include William M. P. Klein, Wendy L. Nelson, Valerie F. Reyna, Nathan F. Dieckmann, Neeraj K. Arora, N. K. Arora, Caitlin Gutheil, Richard P. Moser, Tania D. Strout and Ellen M.A. Smets. Their work appears in journals such as Journal of Clinical Oncology, Psychological Bulletin and SHILAP Revista de lepidopterología.
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.