S.J. Stanley

1.7k citations
25 papers · 1.1k · h-index 19

Impact in

  • Physiology top 0.5%
    • Calcium signaling and nucleotide metabolism
  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Toxin Mechanisms and Immunotoxins 18
    • PARP inhibition in cancer therapy 16

S.J. Stanley

25 papers receiving 1.0k citations

Peers

S.J. Stanley
Comparison fields: 5 of 76
  • Physiology 409
  • Immunology 532
  • Oncology 586
  • Endocrinology 63
  • Microbiology 63
Replace Marcin J. Suskiewicz with:
Marcin J. Suskiewicz France
Shirin Arastu‐Kapur United States
Engin Bermek Türkiye
S. Flodin Sweden
Emmanuelle Thinon United States
Malgorzata Broncel United Kingdom
Masakazu Fujio United States
Subhendu Das United States
Elizabeth Hong‐Geller United States
Barry E. Ledford United States
S.J. Stanley relative to Marcin J. Suskiewicz France Marcin J. Suskiewicz's profile →
Citations per field
00.5×
Marcin J. Suskiewicz · 1×
Citations per year

Countries citing papers authored by S.J. Stanley

Since Specialization
Citations

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

Fields of papers citing papers by S.J. Stanley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.J. Stanley. 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 S.J. Stanley. The network helps show where S.J. Stanley may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980150
2 1983133
3 198587
4 198377
5 198166
6 198660
7 197954
8 198653
9 198147
10 197944
11 198843
12 199237
13 199334
14 202031
15 198031
16 198029
17 198426
18 198523
19 198122
20 199017

About S.J. Stanley

S.J. Stanley is a scholar working on Immunology, Oncology, Molecular Biology, Physiology and Pharmacology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (18 papers), PARP inhibition in cancer therapy (16 papers), Biochemical and Molecular Research (9 papers), Calcium signaling and nucleotide metabolism (8 papers), Sirtuins and Resveratrol in Medicine (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Physiology (409 citations), Immunology (532 citations), Oncology (586 citations), Endocrinology (63 citations) and Microbiology (63 citations). S.J. Stanley has collaborated with scholars based in United States and Poland. Frequent co-authors include Joel Moss, Paul A. Watkins, David A. Yost, Norman J. Oppenheimer, Myron K. Jacobson, Erik L. Hewlett, Drusilla Burns, James C. Osborne, Joel Moss and M Vaughan. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Proceedings of the National Academy of Sciences, Policy Studies Journal and Life Sciences.

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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