Jacqueline Wang

583 citations
20 papers · 300 · h-index 9

Impact in

    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Jacqueline Wang

18 papers receiving 298 citations

Peers

Jacqueline Wang
Comparison fields: 5 of 59
  • Hematology 43
  • Oncology 88
  • Genetics 26
  • Cancer Research 31
  • Immunology 31
Replace Michelle Purdom with:
Michelle Purdom United States
Alexander B. Sibley United States
Kyung‐Hun Lee South Korea
Junshan Qiu United States
Ekaterina A. Alekseeva Russia
Damé Idossa United States
Ioana Kloos France
Shiven B. Patel United States
Gevorg Tamamyan Armenia
Sreekanth Reddy United States
Jacqueline Wang relative to Michelle Purdom United States Michelle Purdom's profile →
Citations per field
00.5×12.2×
Michelle Purdom · 1×
Citations per year

Countries citing papers authored by Jacqueline Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020123
2 202140
3 201533
4 201917
5 201717
6 201716
7 201514
8 202411
9 200810
10 20247
11 20203
12 20232
13 20112
14 20231
15 20251
16 20241
17 20211
18 20221
19 20240
20 20150

About Jacqueline Wang

Jacqueline Wang is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research, having authored 20 papers that have together received 300 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Genomics and Diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Environmental Policies and Emissions (1 paper), Sarcoma Diagnosis and Treatment (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Hematology (43 citations), Oncology (88 citations), Genetics (26 citations), Cancer Research (31 citations) and Immunology (31 citations). Jacqueline Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jill S. Barnholtz‐Sloan, Carol Kruchko, Michael E. Berens, Kristin Waite, Yucai Wang, Quinn T. Ostrom, Fang Yang, Justin D. Lathia, Joshua B. Rubin and Gino Cioffi. Their work appears in journals such as Blood, iScience, JNCI Journal of the National Cancer Institute, Scientific Reports and Clinical Cancer 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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