Bingxia Wang

2.4k citations
56 papers · 1.6k · h-index 21

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment

Papers in

    • Multiple Myeloma Research and Treatments 17
    • Chronic Myeloid Leukemia Treatments 7
    • Protein Degradation and Inhibitors 9
    • Ubiquitin and proteasome pathways 6

Bingxia Wang

49 papers receiving 1.6k citations

Peers

Bingxia Wang
Comparison fields: 5 of 99
  • Virology 218
  • Infectious Diseases 848
  • Hematology 166
  • Epidemiology 293
  • Emergency Medicine 37
Replace Pasakorn Akarasewi with:
Pasakorn Akarasewi Thailand
Ira Shah India
Naim Mahroum Israel
Leon E. Cosler United States
Alessandro Cozzi Lepri Italy
Andreas Kuznik United States
Eshan U. Patel United States
Doron Netzer Israel
R.P. Brettle United Kingdom
Paul Volberding United States
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Citations per field
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Pasakorn Akarasewi · 1×
Citations per year

Countries citing papers authored by Bingxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bingxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009206
2 2006151
3 2009137
4 2010109
5 202081
6 200781
7 201064
8 201164
9 200858
10 202057
11 200751
12 200950
13 200747
14 201140
15 201137
16 201637
17 201735
18 202134
19 202229
20 202425

About Bingxia Wang

Bingxia Wang is a scholar working on Hematology, Molecular Biology, Genetics, Infectious Diseases and Oncology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (17 papers), Chronic Lymphocytic Leukemia Research (12 papers), Protein Degradation and Inhibitors (9 papers), HIV/AIDS Research and Interventions (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Ubiquitin and proteasome pathways (6 papers), Acute Lymphoblastic Leukemia research (6 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Virology (218 citations), Infectious Diseases (848 citations), Hematology (166 citations), Epidemiology (293 citations) and Emergency Medicine (37 citations). Bingxia Wang has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Kenneth A. Freedberg, Rochelle P. Walensky, Elena Losina, Zhigang Lu, Janet Giddy, Ingrid V. Bassett, Senica Chetty, Matilda Mazibuko, Robin Wood and Bruce R. Schackman. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes and The Journal of Clinical Pharmacology.

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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