Michael T. Patterson

804 citations
18 papers · 445 · 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

Michael T. Patterson

18 papers receiving 436 citations

Peers

Michael T. Patterson
Comparison fields: 5 of 58
  • Hematology 192
  • Immunology 248
  • Transplantation 28
  • Neurology 34
  • Oncology 79
Replace Mohammed S. Chaudhry with:
Mohammed S. Chaudhry United Kingdom
Rosanne A. van Schaarenburg Netherlands
Virginie De Wilde Belgium
K J Wood United Kingdom
Jarosław Dybko Poland
Anne Marijn Kramer United Kingdom
Monika Bäumel Germany
Maryam Tahvildari United States
Pilar Nozal Spain
Amélie Vromman United States
Michael T. Patterson relative to Mohammed S. Chaudhry United Kingdom Mohammed S. Chaudhry's profile →
Citations per field
00.5×4.9×
Mohammed S. Chaudhry · 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 2019164
2 202373
3 201934
4 202428
5 202426
6 202324
7 202315
8 201815
9 199013
10 202112
11 202211
12 20177
13 20236
14 20246
15
Alterations of the Tip Vortex Structure from a Hovering Rotor using Passive Tip Devices
19975
16 20224
17 20231
18 20221

About Michael T. Patterson

Michael T. Patterson is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Pharmacology, having authored 18 papers that have together received 445 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), Apelin-related biomedical research (2 papers), Glaucoma and retinal disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Hematology (192 citations), Immunology (248 citations), Transplantation (28 citations), Neurology (34 citations) and Oncology (79 citations). Michael T. Patterson has collaborated with scholars based in United States, Croatia and Russia. Frequent co-authors include David Venzon, Michael Eckhaus, Christopher G. Kanakry, Lucas P. Wachsmuth, Ronald E. Gress, Jesse W. Williams, Rick E. Bendel, Ingunn M. Stromnes, Yingzheng Xu and Patricia R. Schrank. Their work appears in journals such as Blood Advances, Arteriosclerosis Thrombosis and Vascular Biology, JCI Insight, Medicine 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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