Jay A. Walters

998 citations
15 papers · 878 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 10%
    • Diabetes and associated disorders

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Glycosylation and Glycoproteins Research 1
    • Immune Response and Inflammation 4
    • Invertebrate Immune Response Mechanisms 1

Jay A. Walters

15 papers receiving 849 citations

Peers

Jay A. Walters
Comparison fields: 5 of 83
  • Immunology 310
  • Genetics 244
  • Endocrinology, Diabetes and Metabolism 108
  • Cancer Research 92
  • Oncology 146
Replace Saara Aittomäki with:
Saara Aittomäki Finland
Tammy Sadler United States
Harushige Nakatsukasa Japan
Mitsutaka Sawada Japan
Konstantin V. Salojin Canada
Shrimati Datta United States
A. J. Tigges Netherlands
Yinchen Dong United States
Claudia Mitchell France
Christa Burger Germany
Jay A. Walters relative to Saara Aittomäki Finland Saara Aittomäki's profile →
Citations per field
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Saara Aittomäki · 1×
Citations per year

Countries citing papers authored by Jay A. Walters

Since Specialization
Citations

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

Fields of papers citing papers by Jay A. Walters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay A. Walters. 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 Jay A. Walters. The network helps show where Jay A. Walters may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2008167
2 1988165
3 2011120
4 1996107
5 201256
6 199149
7 199247
8 199141
9 199938
10 198927
11 199325
12 200714
13 198910
14 20126
15 20226

About Jay A. Walters

Jay A. Walters is a scholar working on Molecular Biology, Immunology, Oncology, Surgery and Nutrition and Dietetics, having authored 15 papers that have together received 878 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Cell Adhesion Molecules Research (2 papers), Trace Elements in Health (2 papers), Pancreatic function and diabetes (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (310 citations), Genetics (244 citations), Endocrinology, Diabetes and Metabolism (108 citations), Cancer Research (92 citations) and Oncology (146 citations). Jay A. Walters has collaborated with scholars based in United States, Germany and China. Frequent co-authors include S S Sung, Shu Man Fu, Sun‐Sang J. Sung, Lawrence Jung, Kristoffer Valerie, Rupert Schmidt‐Ullrich, John C. Hutton, Suparna A. Sarkar, Catherine E. Lee and Liping Yu. Their work appears in journals such as Diabetes, The Journal of Immunology, Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Biological Chemistry.

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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