John Densmore

1.1k citations
27 papers · 710 · h-index 10

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Complement system in diseases
    • T-cell and B-cell Immunology

Papers in

John Densmore

26 papers receiving 687 citations

Peers

John Densmore
Comparison fields: 5 of 64
  • Genetics 185
  • Immunology 305
  • Pathology and Forensic Medicine 221
  • Radiology, Nuclear Medicine and Imaging 240
  • Hematology 87
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by John Densmore

Since Specialization
Citations

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

Fields of papers citing papers by John Densmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004275
2 2006124
3 200674
4 200541
5 200535
6 200924
7 199223
8 199622
9 200714
10 200911
11 20048
12 20008
13
Pegfilgrastim use during chemotherapy: current and future applications.
20048
14 20057
15 19986
16 20036
17 20065
18 20055
19 20074
20 19954

About John Densmore

John Densmore is a scholar working on Genetics, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology, having authored 27 papers that have together received 710 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Cancer Treatment and Pharmacology (3 papers), Ion channel regulation and function (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Quinazolinone synthesis and applications (2 papers). The work is most often cited by research in Genetics (185 citations), Immunology (305 citations), Pathology and Forensic Medicine (221 citations), Radiology, Nuclear Medicine and Imaging (240 citations) and Hematology (87 citations). John Densmore has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Michael E. Williams, Adam D. Kennedy, Ronald P. Taylor, Paul V. Beum, Margaret A. Lindorfer, Michael D. Solga, David J. DiLillo, Charles E. Hess, Andrew W. Pawluczkowycz and Lloyd S. Gray. Their work appears in journals such as Blood, Journal of Clinical Oncology, Current Treatment Options in Oncology, The Journal of Immunology and Expert Opinion on Pharmacotherapy.

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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