Peter S. Goldfarb

3.4k citations
90 papers · 2.8k indexed · 1 hit paper · h-index 31
Topics
Pharmacogenetics and Drug Metabolism (33 papers)Drug Transport and Resistance Mechanisms (18 papers)Computational Drug Discovery Methods (12 papers)

In The Last Decade

Peter S. Goldfarb

89 papers receiving 2.6k citations

Hit Papers

The structure of the mouse glutathione peroxidase gene: t...19862026199920121986100200300400500

Peers

Peter S. Goldfarb
Comparison fields: 5 of 118
  • Molecular Biology 1.1k
  • Pharmacology 860
  • Health, Toxicology and Mutagenesis 548
  • Nutrition and Dietetics 395
  • Oncology 390
Replace John H.N. Meerman with:
John H.N. Meerman Netherlands
Jack U. Flanagan New Zealand
Patricia E. Ganey United States
Urs A. Boelsterli Switzerland
Toshiyuki Sakaki Japan
Moshe Finel Finland
Leo T. Burka United States
Raymond Novak United States
Joachim G. Liehr United States
Clifford R. Elcombe United Kingdom
Peter S. Goldfarb relative to John H.N. Meerman Netherlands John H.N. Meerman's profile →
Citations per field
00.5×1.5×2.0×
John H.N. Meerman · 1×
Citations per year

Countries citing papers authored by Peter S. Goldfarb

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Goldfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter S. Goldfarb

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S. Goldfarb. A scholar is included among the top collaborators of Peter S. Goldfarb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter S. Goldfarb. Peter S. Goldfarb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 9
2 14
3 60
4 16
5 7
6 20
7 55
8 30
9 35
10 5
11 10
12 7
13 49
14 49
15 59
16 7
17 6
18 80
19 26
20 9

About Peter S. Goldfarb

Peter S. Goldfarb is a scholar working on Pharmacology, Toxicology and Biochemistry, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (33 papers), Drug Transport and Resistance Mechanisms (18 papers) and Computational Drug Discovery Methods (12 papers). The work is most often cited by research in Pharmacology (860 citations), Health, Toxicology and Mutagenesis (548 citations) and Biochemistry (230 citations). Peter S. Goldfarb has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Peter Eddershaw, Michael H. Tarbit, David F. Lewis, Nabeel A. Affara, Paul R. Harrison, Ian Chambers, Jon Frampton, David R. Livingstone, Maurice Dickins and Brian G. Lake. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids 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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