Ron McElmurry

2.6k citations
32 papers · 1.5k · h-index 18

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • RNA Interference and Gene Delivery 6
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6

Ron McElmurry

31 papers receiving 1.5k citations

Peers

Ron McElmurry
Comparison fields: 5 of 79
  • Immunology 634
  • Oncology 492
  • Cell Biology 267
  • Hematology 176
  • Genetics 135
Replace Megan Riddle with:
Megan Riddle United States
Friederike Pausch Germany
Gerhard Raab United States
Yoshinobu Kariya Japan
César Trigueros Spain
Pierre Vaigot France
George Klier United States
Pirkko Huhtala Finland
Angela Denzel United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Ron McElmurry

Since Specialization
Citations

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

Fields of papers citing papers by Ron McElmurry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016295
2 2018184
3 2008125
4 2010118
5 199888
6 201680
7 201077
8 201464
9 201063
10 200655
11 200553
12 202051
13 200543
14 200839
15 201729
16 200525
17 199324
18 201619
19 199812
20 201510

About Ron McElmurry

Ron McElmurry is a scholar working on Molecular Biology, Immunology, Oncology, Physiology and Genetics, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (6 papers), T-cell and B-cell Immunology (6 papers), RNA Interference and Gene Delivery (6 papers), Skin and Cellular Biology Research (5 papers), Lysosomal Storage Disorders Research (5 papers), Virus-based gene therapy research (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Immunology (634 citations), Oncology (492 citations), Cell Biology (267 citations), Hematology (176 citations) and Genetics (135 citations). Ron McElmurry has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Bruce R. Blazar, Jakub Tolar, Mark J. Osborn, Jeffrey S. Miller, Angela Panoskaltsis‐Mortari, Alexander J. Lenvik, Martin Felices, Megan Riddle, Daniel A. Vallera and Lily Xia. Their work appears in journals such as Blood, Molecular Therapy, Journal of Investigative Dermatology, The Journal of Immunology and Clinical Cancer Research.

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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