Michael A. Damore

1.2k citations
30 papers · 775 indexed · h-index 16

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

Michael A. Damore

28 papers receiving 768 citations

Peers

Michael A. Damore
Comparison fields: 5 of 73
  • Immunology 284
  • Hematology 131
  • Oncology 276
  • Rheumatology 124
  • Genetics 68
Replace Kirsten Neubert with:
Kirsten Neubert Germany
Consuelo Anzilotti United Kingdom
Ming‐Fei Liu Taiwan
Patrick B. Lappin United States
Rogier M. Reijmers Netherlands
Michele Bianchini Argentina
Robert McKinstry United States
Sophie Derenne France
Timothy J. Ernst United States
Thomas Geiler Germany
Michael A. Damore relative to Kirsten Neubert Germany Kirsten Neubert's profile →
Citations per field
00.5×2.9×
Kirsten Neubert · 1×
Citations per year

Countries citing papers authored by Michael A. Damore

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Damore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Damore. 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 Michael A. Damore. The network helps show where Michael A. Damore may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202376
2 20233
3 202141
4 20211
5 202024
6 201945
7 201756
8 201644
9 201626
10 20135
11 201127
12 201065
13 200931
14 20084
15 200545
16 20031
17 200227
18 199969
19 199612
20 199210

About Michael A. Damore

Michael A. Damore is a scholar working on Hematology, Family Practice, Oncology, Cancer Research and Hepatology, having authored 30 papers that have together received 775 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (6 papers), NF-κB Signaling Pathways (4 papers), Systemic Lupus Erythematosus Research (3 papers), T-cell and B-cell Immunology (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (284 citations), Hematology (131 citations), Oncology (276 citations), Rheumatology (124 citations) and Genetics (68 citations). Michael A. Damore has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Randolph Wall, Michael Boedigheimer, Michael A. Teitell, Andrew A. Welcher, James Chung, Gregory E. Arnold, Marc‐Henri Stern, Noopur Raje, Edward M. Chan and Nizar J. Bahlis. Their work appears in journals such as Journal of Clinical Oncology, Arthritis & Rheumatology, Molecular and Cellular Biology, Blood and Molecular Cancer Therapeutics.

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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