Derek Tang

1.4k citations
78 papers · 979 · h-index 19

Impact in

  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Hemoglobinopathies and Related Disorders
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Myeloproliferative Neoplasms: Diagnosis and Treatment 18
    • Hemoglobinopathies and Related Disorders 16
    • Acute Myeloid Leukemia Research 16
    • Chronic Myeloid Leukemia Treatments 10
    • Multiple Myeloma Research and Treatments 3

Derek Tang

72 papers receiving 964 citations

Peers

Derek Tang
Comparison fields: 5 of 69
  • Genetics 188
  • Hematology 154
  • Rheumatology 195
  • Urology 68
  • Pulmonary and Respiratory Medicine 185
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Derek Tang relative to Abhay Kumar India Abhay Kumar's profile →
Citations per field
00.5×9.5×
Abhay Kumar · 1×
Citations per year

Countries citing papers authored by Derek Tang

Since Specialization
Citations

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

Fields of papers citing papers by Derek Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Derek 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 Derek Tang Line = papers co-authored together Derek Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201381
2 201868
3 201450
4 202046
5 201933
6 201632
7 201631
8 201631
9 201331
10 201529
11 201328
12 201728
13 201827
14 201827
15 201226
16 201226
17 201723
18 201920
19 201520
20 202118

About Derek Tang

Derek Tang is a scholar working on Genetics, Hematology, Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology, having authored 78 papers that have together received 979 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (18 papers), Acute Myeloid Leukemia Research (16 papers), Hemoglobinopathies and Related Disorders (16 papers), Advanced Breast Cancer Therapies (15 papers), Chronic Myeloid Leukemia Treatments (10 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Kruppel-like factors research (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Genetics (188 citations), Hematology (154 citations), Rheumatology (195 citations), Urology (68 citations) and Pulmonary and Respiratory Medicine (185 citations). Derek Tang has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Danielle Colayco, Denise Globe, James Piercy, Vaishali Patel, Edward P. Armstrong, Ayal A. Aizer, Terri Warholak, Daniel C. Malone, Jeannie K. Lee and Neel Shah. Their work appears in journals such as Blood, Current Medical Research and Opinion, Advances in Therapy, Expert Opinion on Pharmacotherapy and Clinical Therapeutics.

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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