Peter Fisher

6.6k citations
61 papers · 5.3k indexed · 1 hit paper · h-index 35

Peter Fisher

61 papers receiving 5.2k citations

Hit Papers

Mutation ofPten/Mmac1in mice causes neoplasia in multiple...7861999202620082017250500750

Peers

Peter Fisher
Comparison fields: 5 of 132
  • Anesthesiology and Pain Medicine 378
  • Molecular Biology 3.1k
  • Transplantation 115
  • Genetics 879
  • Immunology 575
Replace Nobuo Sasaki with:
Nobuo Sasaki Japan
Young‐Yun Kong South Korea
Hiroshi Shibuyà Japan
John W. Tobias United States
Hans Krause Germany
Dimitri Scholz Germany
J G Seidman United States
Darrell J. Yamashiro United States
Michael S. Parmacek United States
Daniel H. Kim United States
Peter Fisher relative to Nobuo Sasaki Japan Nobuo Sasaki's profile →
Citations per field
00.5×10×20×30×38.3×
Nobuo Sasaki · 1×
Citations per year

Countries citing papers authored by Peter Fisher

Since Specialization
Citations

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

Fields of papers citing papers by Peter Fisher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 201920
3 201938
4 201649
5 201643
6 200442
7 2003225
8 200316
9 2002159
10 2002144
11 200254
12 199917
13 199878
14 199778
15 199789
16 1996108
17 1996382
18 19962
19 19952
20 19928

About Peter Fisher

Peter Fisher is a scholar working on Anesthesiology and Pain Medicine, Transplantation and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 5.3k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (6 papers), Pain Management and Treatment (6 papers), Advanced Chemical Sensor Technologies (5 papers), Glycosylation and Glycoproteins Research (4 papers), Epigenetics and DNA Methylation (4 papers), Cellular transport and secretion (4 papers), Pancreatic function and diabetes (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (378 citations), Molecular Biology (3.1k citations) and Transplantation (115 citations). Peter Fisher has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Argiris Efstratiadis, Thomas Ludwig, Jonathan Eggenschwiler, Ramon Parsons, Katrina Podsypanina, Adriana Nemes, Masahito Tamura, Carlos Cordon‐Cardo, Lora H. Ellenson and Jianguo Gu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

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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