Michael T. Patterson

888 citations
18 papers · 509 · h-index 11

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Immune Cell Function and Interaction 6
    • Immune cells in cancer 4
    • Inflammation biomarkers and pathways 2
    • T-cell and B-cell Immunology 2
    • Cancer Immunotherapy and Biomarkers 2

Michael T. Patterson

18 papers receiving 500 citations

Peers

Michael T. Patterson
Comparison fields: 5 of 53
  • Hematology 195
  • Immunology 234
  • Transplantation 27
  • Neurology 36
  • Oncology 76
Replace Aliakbar Amirzargar with:
Aliakbar Amirzargar Iran
Holger Hägele Germany
Matthew A. Dragovich United States
Helga Smit France
Anup J. Devasia India
Pilar Nozal Spain
T. Kuroiwa Japan
Sofiane Tariket France
Leland Metheny United States
Chiara Nozzoli Italy
Michael T. Patterson relative to Aliakbar Amirzargar Iran Aliakbar Amirzargar's profile →
Citations per field
00.5×10×20×27.3×
Aliakbar Amirzargar · 1×
Citations per year

Countries citing papers authored by Michael T. Patterson

Since Specialization
Citations

This map shows the geographic impact of Michael T. Patterson'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 T. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Patterson more than expected).

Fields of papers citing papers by Michael T. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2019176
2 202393
3 201935
4 202435
5 202433
6 202330
7 202318
8 201815
9 199014
10 202113
11 202212
12 20238
13 20248
14 20177
15
Alterations of the Tip Vortex Structure from a Hovering Rotor using Passive Tip Devices
19975
16 20224
17 20222
18 20231

About Michael T. Patterson

Michael T. Patterson is a scholar working on Immunology, Oncology, Hematology, Ophthalmology and Computational Mechanics, having authored 18 papers that have together received 509 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immune cells in cancer (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Inflammation biomarkers and pathways (2 papers), T-cell and B-cell Immunology (2 papers), Glaucoma and retinal disorders (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Hematology (195 citations), Immunology (234 citations), Transplantation (27 citations), Neurology (36 citations) and Oncology (76 citations). Michael T. Patterson has collaborated with scholars based in United States, Russia and Croatia. Frequent co-authors include David Venzon, Michael Eckhaus, Lucas P. Wachsmuth, Christopher G. Kanakry, Ronald E. Gress, Jesse W. Williams, Rick E. Bendel, Ingunn M. Stromnes, Patricia R. Schrank and Yingzheng Xu. Their work appears in journals such as Blood Advances, JCI Insight, Arteriosclerosis Thrombosis and Vascular Biology, Cell Reports and Current Opinion in Lipidology.

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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