Peter Salzman

854 citations
28 papers · 653 indexed · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Breast Cancer Treatment Studies 2

Peter Salzman

28 papers receiving 640 citations

Peers

Peter Salzman
Comparison fields: 5 of 112
  • Cancer Research 128
  • Oncology 211
  • Biophysics 32
  • Aging 8
  • Molecular Biology 246
Replace Patrick Tan with:
Patrick Tan Singapore
Judith‐Anne W. Chapman Canada
Roberto Alfano Italy
Hiroyoshi Toyoshiba Japan
Linyan Chen China
Ryan Goosen Switzerland
Christopher K. Wong United States
Eva Krieghoff‐Henning Germany
Sujun Gao China
H Knönagel Switzerland
Peter Salzman relative to Patrick Tan Singapore Patrick Tan's profile →
Citations per field
00.5×4.6×
Patrick Tan · 1×
Citations per year

Countries citing papers authored by Peter Salzman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Salzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008122
2 200655
3 200643
4 201241
5 201840
6 201540
7 201537
8 201137
9 200734
10 200631
11
Elevated malondialdehyde correlates with the extent of primary tumor and predicts poor prognosis of oropharyngeal cancer.
200929
12 200926
13 200821
14 200415
15 201614
16 201313
17 201110
18 20169
19 20067
20 20127

About Peter Salzman

Peter Salzman is a scholar working on Aging, Cancer Research, Statistics and Probability, Management Science and Operations Research and Otorhinolaryngology, having authored 28 papers that have together received 653 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Gene Regulatory Network Analysis (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Optimal Experimental Design Methods (3 papers), Gallbladder and Bile Duct Disorders (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Cancer Research (128 citations), Oncology (211 citations), Biophysics (32 citations), Aging (8 citations) and Molecular Biology (246 citations). Peter Salzman has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Peter W. Glynn, Sylvia K. Plevritis, Lev B. Klebanov, Bronislava M. Sigal, Anthony Almudevar, Laurel Newman, Erik R. Sampson, Hartmut Land, Helene R. McMurray and Conan G. Kinsey. Their work appears in journals such as Journal of Visualized Experiments, Gastroenterology, British Journal of Cancer, Neurotherapeutics and Statistical Methods in Medical Research.

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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