James Wang

2.6k citations
49 papers · 903 · h-index 14

Impact in

Papers in

    • Glioma Diagnosis and Treatment 8
    • Chronic Lymphocytic Leukemia Research 3
    • Cancer Treatment and Pharmacology 4
    • Peptidase Inhibition and Analysis 4

James Wang

47 papers receiving 887 citations

Peers

James Wang
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 192
  • Genetics 107
  • Hematology 92
  • Oncology 163
  • Nutrition and Dietetics 90
Replace R. Jung with:
R. Jung Germany
Mia J. Smith United States
Mara Giordano Italy
Unnur Styrkársdóttir Iceland
B Schneider Germany
Angela F. Brady United Kingdom
Cindy Jacobs United States
Auke P. Verhaar Netherlands
В. И. Коненков Russia
Antonis Voutetakis United States
James Wang relative to R. Jung Germany R. Jung's profile →
Citations per field
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Citations per year

Countries citing papers authored by James Wang

Since Specialization
Citations

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

Fields of papers citing papers by James Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside James 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 James Wang Line = papers co-authored together James Wang 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 2004210
2 2004118
3 200399
4 200358
5 200756
6 200740
7 200639
8 200530
9 201628
10 200327
11 202015
12 201915
13 201915
14 201614
15 201612
16 202011
17 202211
18 201410
19 20238
20 20146

About James Wang

James Wang is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Epidemiology, having authored 49 papers that have together received 903 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (6 papers), Multiple Myeloma Research and Treatments (6 papers), Cancer Treatment and Pharmacology (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Peptidase Inhibition and Analysis (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (192 citations), Genetics (107 citations), Hematology (92 citations), Oncology (163 citations) and Nutrition and Dietetics (90 citations). James Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Eli Rosenbaum, David Sidransky, Shehzad Basaria, Marge Ewertz, Ralph P. Tufano, Mingzhao Xing, Paul W. Ladenson, Patrick J. Byrne, Anthony P. Tufaro and Henri R. Ford. Their work appears in journals such as Blood, World Neurosurgery, Journal of Neuroimaging, Supportive Care in Cancer and The Annals of Family Medicine.

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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