Jackie Han
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
Papers in
- Co-authors
- Luonan Chen (4 shared papers)Daniel Promislow (4 shared papers)Sharon E. Mitchell (4 shared papers)Alex Douglas (4 shared papers)Davina Derous (4 shared papers)Yingchun Wang (3 shared papers)David Lusseau (4 shared papers)John Roger Speakman (4 shared papers)
- Journals
- American Journal of Hematology (3 papers)Oncotarget (3 papers)European Journal Of Haematology (2 papers)Blood (2 papers)Diabetes Obesity and Metabolism (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Jackie Han
25 papers receiving 524 citations
Peers
Comparison fields: 5 of 75
- Aging 89
- Endocrine and Autonomic Systems 61
- Genetics 81
- Physiology 178
- Hematology 75
Countries citing papers authored by Jackie Han
This map shows the geographic impact of Jackie 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 Jackie Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackie Han more than expected).
Fields of papers citing papers by Jackie Han
This network shows the impact of papers produced by Jackie 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 Jackie Han. The network helps show where Jackie Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackie 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
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 91 | |
| 2 | 2015 | 81 | |
| 3 | 2016 | 71 | |
| 4 | 2017 | 38 | |
| 5 | 2018 | 34 | |
| 6 | 2016 | 30 | |
| 7 | 2015 | 27 | |
| 8 | 2022 | 25 | |
| 9 | 2024 | 20 | |
| 10 | 2017 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2024 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2019 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2020 | 3 |
About Jackie Han
Jackie Han is a scholar working on Genetics, Aging, Hematology, Physiology and Surgery, having authored 28 papers that have together received 530 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (7 papers), Lipoproteins and Cardiovascular Health (4 papers), Iron Metabolism and Disorders (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Dietary Effects on Health (3 papers), Adipose Tissue and Metabolism (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Aging (89 citations), Endocrine and Autonomic Systems (61 citations), Genetics (81 citations), Physiology (178 citations) and Hematology (75 citations). Jackie Han has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Luonan Chen, Daniel Promislow, Sharon E. Mitchell, Alex Douglas, Davina Derous, Yingchun Wang, David Lusseau, John Roger Speakman, Cara L. Green and Lawrence A. Leiter. Their work appears in journals such as American Journal of Hematology, Oncotarget, European Journal Of Haematology, Blood and Diabetes Obesity and Metabolism.
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.