Maclyn McCarty

76 papers receiving 2.5k citations

Peers

Maclyn McCarty
Comparison fields: 5 of 132
  • Public Health, Environmental and Occupational Health 1.3k
  • Microbiology 252
  • Endocrinology 159
  • Infectious Diseases 446
  • Epidemiology 765
Replace Richard M. Krause with:
Richard M. Krause United States
Dennis W. Watson United States
N. Luisa Hiller United States
O. Zák Switzerland
Birgitta Henriques‐Normark Sweden
Suganya Viriyakosol United States
Thomas Naderer Australia
Jason N. Cole Australia
Y. Jerold Gordon United States
Paul M. Sullam United States
Maclyn McCarty relative to Richard M. Krause United States Richard M. Krause's profile →
Citations per field
00.5×3.1×
Richard M. Krause · 1×
Citations per year

Countries citing papers authored by Maclyn McCarty

Since Specialization
Citations

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

Fields of papers citing papers by Maclyn McCarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975308
2 1961200
3 1955166
4 1956145
5 1977139
6 1952134
7 1959110
8 1951108
9 1998102
10 196296
11 195996
12 199777
13 195273
14 195468
15 195867
16 198164
17 199551
18 200051
19 197750
20 196449

About Maclyn McCarty

Maclyn McCarty is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 78 papers that have together received 2.9k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (35 papers), Glycosylation and Glycoproteins Research (11 papers), Infective Endocarditis Diagnosis and Management (9 papers), Neonatal and Maternal Infections (7 papers), Pneumonia and Respiratory Infections (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Inflammasome and immune disorders (6 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.3k citations), Microbiology (252 citations), Endocrinology (159 citations), Infectious Diseases (446 citations) and Epidemiology (765 citations). Maclyn McCarty has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Rebecca C. Lancefield, Richard M. Krause, I van de Rijn, Harrison F. Wood, Colin M. MacLeod, Oswald T. Avery, Harold C. Anderson, Earl H. Freimer, Robert J. Slater and A. Bouvet. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Infectious Diseases, Proceedings of the National Academy of Sciences, The American Journal of Medicine and Journal of Clinical Investigation.

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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