John R. Redman

2.6k citations
35 papers · 2.3k · h-index 23

Impact in

Papers in

John R. Redman

35 papers receiving 2.1k citations

Peers

John R. Redman
Comparison fields: 5 of 80
  • Genetics 1.0k
  • Pathology and Forensic Medicine 1.1k
  • Hematology 309
  • Oncology 556
  • Reproductive Medicine 171
Replace Maura Brugiatelli with:
Maura Brugiatelli Italy
William S. Velasquez United States
Meyer R. Heyman United States
Yves Bastion France
Forrest Swan United States
R. E. Marcus United Kingdom
Anne Sonet Belgium
Tak Takvorian United States
Tanin Intragumtornchai Thailand
C. S. Portlock United States
John R. Redman relative to Maura Brugiatelli Italy Maura Brugiatelli's profile →
Citations per field
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Maura Brugiatelli · 1×
Citations per year

Countries citing papers authored by John R. Redman

Since Specialization
Citations

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

Fields of papers citing papers by John R. Redman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Redman. 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 John R. Redman. The network helps show where John R. Redman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989413
2 1989235
3 1992185
4
Serum interleukin 6 levels are elevated in lymphoma patients and correlate with survival in advanced Hodgkin's disease and with B symptoms.
1993145
5 1989141
6 1986124
7 199486
8 199685
9 198484
10 198872
11 199171
12 198765
13
Results of recent salvage chemotherapy regimens for lymphoma and Hodgkin's disease.
198861
14 199054
15 199352
16 198842
17 199137
18 200737
19 200835
20 198829

About John R. Redman

John R. Redman is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Oncology and Hematology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Chronic Lymphocytic Leukemia Research (10 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (1.0k citations), Pathology and Forensic Medicine (1.1k citations), Hematology (309 citations), Oncology (556 citations) and Reproductive Medicine (171 citations). John R. Redman has collaborated with scholars based in United States. Frequent co-authors include Fernando Cabanillas, William S. Velasquez, Moshe Talpaz, Peter Joseph McLaughlin, William K. Plunkett, Forrest Swan, Fredrick B. Hagemeister, Charles Asa Koller, Maria Alma Rodriguez and Hagop Kantarjian. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, The American Journal of Medicine and Journal of Clinical Immunology.

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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