Christopher K. Murphy

31 papers receiving 1.1k citations

Peers

Christopher K. Murphy
Comparison fields: 5 of 97
  • Pharmaceutical Science 236
  • Molecular Medicine 98
  • Organic Chemistry 486
  • Microbiology 90
  • Genetics 223
Replace Ester Muraglia with:
Ester Muraglia Italy
Dominik Rejman Czechia
Folkert Reck United States
Tsutomu Akama Japan
Peter J. O’Hanlon United Kingdom
Steven J. Sucheck United States
Holger Paulsen Germany
Ajit K. Parhi United States
J. Nüesch Switzerland
Leo Einck United States
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Citations per year

Countries citing papers authored by Christopher K. Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Christopher K. Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher K. Murphy. 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 Christopher K. Murphy. The network helps show where Christopher K. Murphy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001239
2 2000160
3 1995110
4 199278
5 199377
6 200875
7 199871
8 199364
9 199452
10 199339
11 200636
12 200734
13 200631
14 202329
15 199017
16 200614
17 199513
18 200712
19 200710
20 20069

About Christopher K. Murphy

Christopher K. Murphy is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Molecular Medicine and Pharmaceutical Science, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Asymmetric Synthesis and Catalysis (5 papers), Fluorine in Organic Chemistry (5 papers), Bacterial Genetics and Biotechnology (4 papers), Veterinary medicine and infectious diseases (3 papers), Synthesis and Catalytic Reactions (3 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Pharmaceutical Science (236 citations), Molecular Medicine (98 citations), Organic Chemistry (486 citations), Microbiology (90 citations) and Genetics (223 citations). Christopher K. Murphy has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Franklin A. Davis, Nancy Su, Wei Han, Paul Fawcett, Philip Youngman, Chester W. Price, Charles O. Rock, Richard J. Heath, David M. Rothstein and Ping Zhou. Their work appears in journals such as The Journal of Antibiotics, The Journal of Organic Chemistry, Tetrahedron Letters, Antimicrobial Agents and Chemotherapy and Gene.

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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