Jackson Tang

1.2k citations
53 papers · 987 · h-index 16

Impact in

Papers in

    • CAR-T cell therapy research 5
    • Cutaneous Melanoma Detection and Management 3
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 4

Jackson Tang

49 papers receiving 952 citations

Peers

Jackson Tang
Comparison fields: 5 of 94
  • Nephrology 154
  • Psychiatry and Mental health 146
  • Orthopedics and Sports Medicine 71
  • Family Practice 11
  • Ophthalmology 40
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Josep Darbà Spain
Mehmet Yazıcı Türkiye
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Victoria F. Norwood United States
Aurore Palmaro France
Lin Xie United States
Aart H. Bootsma Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Jackson Tang

Since Specialization
Citations

This map shows the geographic impact of Jackson Tang'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 Jackson Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackson Tang more than expected).

Fields of papers citing papers by Jackson Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jackson Tang. 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 Jackson Tang. The network helps show where Jackson Tang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jackson Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jackson Tang Line = papers co-authored together Jackson Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008155
2
Analytic models to identify patients at risk for prescription opioid abuse.
2009147
3 200896
4 200976
5 200975
6 200860
7 201539
8 200938
9 201329
10 202227
11 200926
12 200825
13 201523
14 202120
15 202118
16 201917
17
Economic Burden of Adverse Events Associated with Immunotherapy and Targeted Therapy for Metastatic Melanoma in the Elderly.
201813
18 202211
19 201510
20 201510

About Jackson Tang

Jackson Tang is a scholar working on Oncology, Hematology, Orthopedics and Sports Medicine, Molecular Biology and Genetics, having authored 53 papers that have together received 987 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (7 papers), CAR-T cell therapy research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Cutaneous Melanoma Detection and Management (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Prostate Cancer Treatment and Research (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Nephrology (154 citations), Psychiatry and Mental health (146 citations), Orthopedics and Sports Medicine (71 citations), Family Practice (11 citations) and Ophthalmology (40 citations). Jackson Tang has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Howard G. Birnbaum, Andrew P. Yu, Eric Q. Wu, Kevin E. Cahill, Nathaniel P. Katz, M. Schiller, Alan G. White, Anna Kaltenboeck, David Mallett and R.L. Robinson. Their work appears in journals such as Journal of Clinical Oncology, Current Medical Research and Opinion, Blood, Value in Health and Bone Marrow Transplantation.

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.

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