Nathan E. Welty

528 citations
6 papers · 435 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 1
    • Heme Oxygenase-1 and Carbon Monoxide 2

Nathan E. Welty

6 papers receiving 435 citations

Peers

Nathan E. Welty
Comparison fields: 5 of 72
  • Immunology 270
  • Immunology and Allergy 25
  • Dermatology 33
  • Biochemistry 15
  • Molecular Biology 123
Replace Hyun-Jong Ahn with:
Hyun-Jong Ahn South Korea
Jennifer Sand Switzerland
Il-Whan Choi South Korea
Wei-Jen Cheng Taiwan
Jang-ik Lee United States
Victoria J. Tyrrell United Kingdom
Allison Ehrlich United States
Benjamin Kühn United States
Niva Yacov Israel
Krishnaprasad Subbarao United States
Nathan E. Welty relative to Hyun-Jong Ahn South Korea Hyun-Jong Ahn's profile →
Citations per field
00.5×4.2×
Hyun-Jong Ahn · 1×
Citations per year

Countries citing papers authored by Nathan E. Welty

Since Specialization
Citations

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

Fields of papers citing papers by Nathan E. Welty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Welty. 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 Nathan E. Welty. The network helps show where Nathan E. Welty may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2016177
2 2013131
3 200598
4 200820
5 20228
6 20241

About Nathan E. Welty

Nathan E. Welty is a scholar working on Immunology, Molecular Biology, Endocrine and Autonomic Systems, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 435 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (2 papers), Neuroscience of respiration and sleep (2 papers), T-cell and B-cell Immunology (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Immune Cell Function and Interaction (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Immunology (270 citations), Immunology and Allergy (25 citations), Dermatology (33 citations), Biochemistry (15 citations) and Molecular Biology (123 citations). Nathan E. Welty has collaborated with scholars based in United States, Croatia and Canada. Frequent co-authors include Botond Z. Igyártó, Daniel H. Kaplan, Michael J. Sadowsky, Nico Ghilardi, Christopher Staley, Karen E. Iles, Dale A. Dickinson, Volker Blank, Henry Jay Forman and Amanda F. Wigley. Their work appears in journals such as Free Radical Biology and Medicine, Nature Immunology, JACC CardioOncology, The Journal of Experimental Medicine and Blood.

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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