Philip N. Rather

9.1k total citations · 2 hit papers
106 papers, 6.8k citations indexed

About

Philip N. Rather is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Philip N. Rather has authored 106 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 57 papers in Molecular Medicine and 51 papers in Genetics. Recurrent topics in Philip N. Rather's work include Antibiotic Resistance in Bacteria (57 papers), Bacterial Genetics and Biotechnology (50 papers) and Vibrio bacteria research studies (31 papers). Philip N. Rather is often cited by papers focused on Antibiotic Resistance in Bacteria (57 papers), Bacterial Genetics and Biotechnology (50 papers) and Vibrio bacteria research studies (31 papers). Philip N. Rather collaborates with scholars based in United States, Italy and Germany. Philip N. Rather's co-authors include Robert A. Bonomo, George H. Miller, Karen Joy Shaw, R S Hare, Katy M. Clemmer, Kristine M. Hujer, Andrea M. Hujer, Federico Pérez, Brooke K. Decker and Xuedong Ding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Philip N. Rather

104 papers receiving 6.6k citations

Hit Papers

Global Challenge of Multidrug-ResistantAcinetobac... 1993 2026 2004 2015 2007 1993 250 500 750

Peers

Philip N. Rather
Comparison fields: 5 of 125
  • Molecular Medicine 3.8k
  • Molecular Biology 3.5k
  • Endocrinology 2.0k
  • Genetics 1.3k
  • Ecology 858
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Marcelo E. Tolmasky United States View profile →
Citations per field, relative to Philip N. Rather
Philip N. Rather · 1×
Citations per year, relative to Philip N. Rather
Philip N. Rather · 1×

Countries citing papers authored by Philip N. Rather

Since Specialization
Citations

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

Fields of papers citing papers by Philip N. Rather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip N. Rather. 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 Philip N. Rather. The network helps show where Philip N. Rather may publish in the future.

Co-authorship network of co-authors of Philip N. Rather

This figure shows the co-authorship network connecting the top 25 collaborators of Philip N. Rather. A scholar is included among the top collaborators of Philip N. Rather 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 Philip N. Rather. Philip N. Rather 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
# Work Indexed citations
1 3
2 1
3 10
4 6
5 3
6 30
7 20
8 19
9 11
10 125
11 3
12 25
13 5
14 93
15 132
16 32
17 148
18 84
19 11
20 10

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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2026