Thomas M. Proctor

1.1k citations
28 papers · 853 · h-index 12

Impact in

Papers in

    • Ultrasonics and Acoustic Wave Propagation 9
    • Flow Measurement and Analysis 5
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 4

Thomas M. Proctor

27 papers receiving 825 citations

Peers

Thomas M. Proctor
Comparison fields: 5 of 105
  • Developmental Neuroscience 58
  • Immunology 219
  • Aging 19
  • Immunology and Allergy 52
  • Cellular and Molecular Neuroscience 152
Replace Masao Kinoshita with:
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David F. Wieczorek United States
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Thomas M. Proctor relative to Masao Kinoshita Japan Masao Kinoshita's profile →
Citations per field
00.5×4.8×
Masao Kinoshita · 1×
Citations per year

Countries citing papers authored by Thomas M. Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Proctor. 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 Thomas M. Proctor. The network helps show where Thomas M. Proctor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005136
2 2009130
3 200894
4 198292
5 201092
6 196650
7 200748
8 200843
9 200939
10 200929
11 201026
12 198320
13 20099
14
More recent improvements on the NBS conical transducer
19868
15 20077
16 19834
17 19944
18 19844
19 20054
20 19803

About Thomas M. Proctor

Thomas M. Proctor is a scholar working on Mechanics of Materials, Immunology, Pathology and Forensic Medicine, Mechanical Engineering and Electrical and Electronic Engineering, having authored 28 papers that have together received 853 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (9 papers), T-cell and B-cell Immunology (6 papers), Flow Measurement and Analysis (5 papers), Immune Cell Function and Interaction (4 papers), Non-Destructive Testing Techniques (4 papers), Immunotherapy and Immune Responses (4 papers), Multiple Sclerosis Research Studies (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Developmental Neuroscience (58 citations), Immunology (219 citations), Aging (19 citations), Immunology and Allergy (52 citations) and Cellular and Molecular Neuroscience (152 citations). Thomas M. Proctor has collaborated with scholars based in United States, France and Slovakia. Frequent co-authors include Arthur A. Vandenbark, Halina Offner, Laurie J. Kaler, Yuexin Li, Chunhe Wang, Babak Dehghani, Sushmita Sinha, Peter J. Chlebeck, Melissa A. Yates and Burkhard Poeck. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Neuroimmunology, Journal of Neuroscience, The Journal of Immunology and Molecular Imaging and Biology.

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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