Deborah M. Stephens

125 papers receiving 1.7k citations

Peers

Deborah M. Stephens
Comparison fields: 5 of 71
  • Genetics 1.0k
  • Pathology and Forensic Medicine 1.1k
  • Hematology 354
  • Oncology 630
  • Immunology 342
Replace Manfred Hensel with:
Manfred Hensel Germany
Charles Herbaux France
Pau Abrisqueta Spain
Andrew Haynes United Kingdom
Christopher Pocock United Kingdom
Christian H. Geisler Denmark
Anthony R. Mato United States
Elisabeth Vandenberghe Ireland
Paul Evans United Kingdom
Ilaria Del Giudice Italy
Deborah M. Stephens relative to Manfred Hensel Germany Manfred Hensel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deborah M. Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Deborah M. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah M. Stephens. 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 Deborah M. Stephens. The network helps show where Deborah M. Stephens may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019144
2 2019102
3 202184
4 201971
5 201670
6 201965
7 202064
8 202163
9 198861
10 201757
11 202045
12 202037
13 201435
14 202332
15 202230
16 202329
17 202126
18
Proposed Algorithm for Managing Ibrutinib-Related Atrial Fibrillation.
201625
19 201925
20 202025

About Deborah M. Stephens

Deborah M. Stephens is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Hematology, having authored 142 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (110 papers), Lymphoma Diagnosis and Treatment (77 papers), Advanced Breast Cancer Therapies (19 papers), CAR-T cell therapy research (18 papers), Chronic Myeloid Leukemia Treatments (18 papers), Viral-associated cancers and disorders (12 papers), Acute Lymphoblastic Leukemia research (9 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). The work is most often cited by research in Genetics (1.0k citations), Pathology and Forensic Medicine (1.1k citations), Hematology (354 citations), Oncology (630 citations) and Immunology (342 citations). Deborah M. Stephens has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John C. Byrd, Jennifer A. Woyach, William G. Wierda, Sonali M. Smith, Farrukh T. Awan, John M. Pagel, Jennifer R. Brown, Priti Patel, Richard R. Furman and Peter Hillmen. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, HemaSphere and Blood Advances.

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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