Jackson Tang

1.2k citations
49 papers · 914 · h-index 14

Impact in

Papers in

    • CAR-T cell therapy research 6
    • Bone health and treatments 6
    • Cutaneous Melanoma Detection and Management 5
    • Acute Myeloid Leukemia Research 4

Jackson Tang

46 papers receiving 883 citations

Peers

Jackson Tang
Comparison fields: 5 of 90
  • Nephrology 153
  • Anesthesiology and Pain Medicine 65
  • Psychiatry and Mental health 157
  • Pharmacology 171
  • Family Practice 22
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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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2
Analytic models to identify patients at risk for prescription opioid abuse.
2009143
3 200891
4 200975
5 200974
6 200857
7 200938
8 201537
9 201329
10 200925
11 200825
12 202223
13 201523
14 202117
15
Economic Burden of Adverse Events Associated with Immunotherapy and Targeted Therapy for Metastatic Melanoma in the Elderly.
201812
16 201510
17 20229
18 20159
19 20168
20 20108

About Jackson Tang

Jackson Tang is a scholar working on Oncology, Hematology, Molecular Biology, Epidemiology and Orthopedics and Sports Medicine, having authored 49 papers that have together received 914 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (7 papers), CAR-T cell therapy research (6 papers), Bone health and treatments (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Melanoma and MAPK Pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), Microscopic Colitis (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Nephrology (153 citations), Anesthesiology and Pain Medicine (65 citations), Psychiatry and Mental health (157 citations), Pharmacology (171 citations) and Family Practice (22 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, Alan G. White, M. Schiller, Anna Kaltenboeck, David Mallett and Leigh Ann White. Their work appears in journals such as Current Medical Research and Opinion, Journal of Clinical Oncology, Blood, Value in Health and Melanoma Research.

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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