Robert L. Switzer

4.9k citations
126 papers · 4.1k · h-index 36

Impact in

    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Porphyrin Metabolism and Disorders

Papers in

Robert L. Switzer

124 papers receiving 3.8k citations

Peers

Robert L. Switzer
Comparison fields: 5 of 117
  • Molecular Biology 3.4k
  • Biochemistry 268
  • Infectious Diseases 604
  • Genetics 856
  • Physiology 124
Replace Jan Neuhard with:
Jan Neuhard Denmark
Octavian Bârzu France
Gladys F. Maley United States
Erwin Schneider Germany
Rosalind Kim United States
Kishiko Nikaido United States
G F Ames United States
Jonathan Gallant United States
Kaj Frank Jensen Denmark
Steven L. Roderick United States
Robert L. Switzer relative to Jan Neuhard Denmark Jan Neuhard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert L. Switzer

Since Specialization
Citations

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

Fields of papers citing papers by Robert L. Switzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert L. Switzer. 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 Robert L. Switzer. The network helps show where Robert L. Switzer may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994206
2 2016179
3 1986179
4 2008149
5 1991117
6 1969109
7 1994106
8 197395
9 200786
10 197181
11 197779
12 199476
13 198374
14 199573
15 197765
16 199364
17 199061
18 197861
19 199856
20 199655

About Robert L. Switzer

Robert L. Switzer is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Infectious Diseases and Ecology, having authored 126 papers that have together received 4.1k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (76 papers), Enzyme Structure and Function (58 papers), Bacterial Genetics and Biotechnology (28 papers), RNA and protein synthesis mechanisms (24 papers), HIV/AIDS drug development and treatment (16 papers), Bacteriophages and microbial interactions (14 papers), Neonatal Health and Biochemistry (13 papers) and Hemoglobin structure and function (13 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Biochemistry (268 citations), Infectious Diseases (604 citations), Genetics (856 citations) and Physiology (124 citations). Robert L. Switzer has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Charles L. Turnbough, Bjarne Hove‐Jensen, Yang Lu, Kenneth W. Harlow, H Zalkin, Michael A. Becker, Steven J. Vollmer, Katharine J. Gibson, Raymond J. Turner and David C. Sogin. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Microbiology and Biochemistry.

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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