Peter Hilgard

32 papers receiving 703 citations

Peers

Peter Hilgard
Comparison fields: 5 of 88
  • Public Health, Environmental and Occupational Health 227
  • Hematology 78
  • Parasitology 44
  • Oncology 125
  • Cancer Research 67
Replace Ming Chu with:
Ming Chu United States
Bernard Friedenson United States
Fernando F. Blanco United States
Janis de la Iglesia-Vicente Spain
J.R. Bertino United States
Larry W. Brox Canada
Jaulang Hwang Taiwan
Gilles Vazeux France
Peter Hermentin Germany
Essam Ghazaly United Kingdom
Peter Hilgard relative to Ming Chu United States Ming Chu's profile →
Citations per field
00.5×4.9×
Ming Chu · 1×
Citations per year

Countries citing papers authored by Peter Hilgard

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hilgard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998192
2 198892
3 199050
4 197244
5 199840
6 198531
7 199529
8 199327
9 198226
10 198924
11 198820
12 199719
13 199518
14 199216
15 197316
16 198414
17 199012
18 199512
19 198412
20 19909

About Peter Hilgard

Peter Hilgard is a scholar working on Molecular Biology, Hematology, Organic Chemistry, Immunology and Oncology, having authored 32 papers that have together received 747 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Virus-based gene therapy research (2 papers), Hypothalamic control of reproductive hormones (2 papers), Chemical Synthesis and Analysis (2 papers), Viral Infections and Immunology Research (2 papers), Immune Cell Function and Interaction (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (227 citations), Hematology (78 citations), Parasitology (44 citations), Oncology (125 citations) and Cancer Research (67 citations). Peter Hilgard has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include R. Voegeli, Jurij Stekar, Ashish Goyal, Shyam Sundar, Andreas Voß, M K Makharia, F. Rosenkaimer, Henry W. Murray, Clemens Unger and Jürgen Engel. Their work appears in journals such as Investigational New Drugs, Cancer Chemotherapy and Pharmacology, Cancer Treatment Reviews, European Journal of Biochemistry and Thrombosis 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.

Explore authors with similar magnitude of impact