L. Jay Stallons

807 citations
12 papers · 656 indexed · h-index 11

Impact in

  • Nephrology top 2%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Metabolism and Genetic Disorders

Papers in

    • Acute Kidney Injury Research 7
    • Dialysis and Renal Disease Management 2
    • Renal Transplantation Outcomes and Treatments 1

L. Jay Stallons

12 papers receiving 652 citations

Peers

L. Jay Stallons
Comparison fields: 5 of 70
  • Nephrology 263
  • Clinical Biochemistry 88
  • Transplantation 23
  • Pathology and Forensic Medicine 99
  • Molecular Biology 304
Replace Jianlin Yin with:
Jianlin Yin Australia
Danyi Yang China
Kensei Taguchi Japan
Yoshiko Shimamura Japan
Ana Lúcia Mattar Brazil
Jiejun Wen China
Hirotaka Imamaki Japan
In Jin Kim South Korea
Yukiko Kanetsuna Japan
D. Whittenburg United States
L. Jay Stallons relative to Jianlin Yin Australia Jianlin Yin's profile →
Citations per field
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Jianlin Yin · 1×
Citations per year

Countries citing papers authored by L. Jay Stallons

Since Specialization
Citations

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

Fields of papers citing papers by L. Jay Stallons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20202
2 201581
3 201512
4 201460
5 2014116
6 201465
7 2013114
8 201380
9 201363
10 201213
11 201038
12 201012

About L. Jay Stallons

L. Jay Stallons is a scholar working on Nephrology, Transplantation, Pathology and Forensic Medicine, Cancer Research and Pharmacology, having authored 12 papers that have together received 656 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (7 papers), Cardiac Ischemia and Reperfusion (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), DNA Repair Mechanisms (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Dialysis and Renal Disease Management (2 papers), Renal Transplantation Outcomes and Treatments (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Nephrology (263 citations), Clinical Biochemistry (88 citations), Transplantation (23 citations), Pathology and Forensic Medicine (99 citations) and Molecular Biology (304 citations). L. Jay Stallons has collaborated with scholars based in United States. Frequent co-authors include Rick G. Schnellmann, Ryan Whitaker, Jason A. Funk, Lauren Wills, J. A. Smith, Craig C. Beeson, W. Glenn McGregor, Rick G. Schnellmann, Judit Megyesi and Kenneth D. Chavin. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Toxicological Sciences, Journal of the American Society of Nephrology, Current Pathobiology Reports and Kidney International.

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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