Stephen E. Spurgeon

90 papers receiving 2.4k citations

Stephen E. Spurgeon's Hit Papers

Idelalisib, an inhibitor of phosphatidylinositol 3-kinase p110δ, for relapsed/refractory chronic lymphocytic leukemia 2014 · 465 citations
4650+4+8Years since publication100200300400

Peers

Stephen E. Spurgeon
Comparison fields: 5 of 83
  • Genetics 1.6k
  • Pathology and Forensic Medicine 1.3k
  • Hematology 543
  • Immunology 549
  • Oncology 690
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Citations per field
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Citations per year

Countries citing papers authored by Stephen E. Spurgeon

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Spurgeon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Spurgeon. 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 Stephen E. Spurgeon. The network helps show where Stephen E. Spurgeon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Idelalisib, an inhibitor of phosphatidylinositol 3-kinase p110δ, for relapsed/refractory chronic lymphocytic leukemia
Hit paper breakdown →
2014465
2 2014199
3 2014167
4 2016114
5 2012100
6 2010100
7 201091
8 201160
9 201258
10 201456
11 201455
12 201654
13 201853
14 201348
15 201648
16 200944
17 201542
18 201240
19 201337
20 201837

About Stephen E. Spurgeon

Stephen E. Spurgeon is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Molecular Biology and Hematology, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (72 papers), Lymphoma Diagnosis and Treatment (50 papers), Immunodeficiency and Autoimmune Disorders (14 papers), Viral-associated cancers and disorders (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), CAR-T cell therapy research (11 papers) and Acute Lymphoblastic Leukemia research (10 papers). The work is most often cited by research in Genetics (1.6k citations), Pathology and Forensic Medicine (1.3k citations), Hematology (543 citations), Immunology (549 citations) and Oncology (690 citations). Stephen E. Spurgeon has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Ian W. Flinn, Richard R. Furman, Jennifer R. Brown, Steven Coutré, Nina D. Wagner‐Johnston, Brad S. Kahl, Sissy Peterman, Don M. Benson, Albert S. Yu and John C. Byrd. Their work appears in journals such as Blood, Journal of Clinical Oncology, Oncotarget, HemaSphere and British Journal of Haematology.

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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