Joan C. Olson

1.8k citations
44 papers · 1.5k · h-index 23

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 12
    • Bacterial Genetics and Biotechnology 17
    • Diabetes and associated disorders 4

Joan C. Olson

44 papers receiving 1.5k citations

Peers

Joan C. Olson
Comparison fields: 5 of 106
  • Molecular Medicine 351
  • Endocrinology 291
  • Microbiology 94
  • Genetics 402
  • Molecular Biology 920
Replace I.B. Holland with:
I.B. Holland France
C. Garrett Miyada United States
N S Hibler United States
Antje Munder Germany
Maria Cristina Plotkowski Brazil
Sumita Jain United States
Arthur E. Franke United States
Bart W. Bardoel Netherlands
Yaomei Tian China
Ichiro Tatsuno Japan
Joan C. Olson relative to I.B. Holland France I.B. Holland's profile →
Citations per field
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Citations per year

Countries citing papers authored by Joan C. Olson

Since Specialization
Citations

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

Fields of papers citing papers by Joan C. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan C. Olson. 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 Joan C. Olson. The network helps show where Joan C. Olson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993259
2 1995103
3 199283
4 201282
5 200778
6 199971
7 199262
8 199859
9 199750
10 200348
11 199948
12 200138
13 200137
14 199937
15 200232
16 198932
17 201131
18 200229
19 200228
20 200026

About Joan C. Olson

Joan C. Olson is a scholar working on Molecular Biology, Genetics, Immunology, Molecular Medicine and Cell Biology, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Bacterial biofilms and quorum sensing (12 papers), Toxin Mechanisms and Immunotoxins (8 papers), Antibiotic Resistance in Bacteria (7 papers), Cellular transport and secretion (5 papers), Diabetes and associated disorders (4 papers), PARP inhibition in cancer therapy (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Molecular Medicine (351 citations), Endocrinology (291 citations), Microbiology (94 citations), Genetics (402 citations) and Molecular Biology (920 citations). Joan C. Olson has collaborated with scholars based in United States, Israel and Hungary. Frequent co-authors include Dennis E. Ohman, Timothy S. Vincent, Efrat Kessler, Mary Safrin, Eileen M. McGuffie, Dara W. Frank, Kevin S. McIver, Elizabeth A. Rucks, Joseph Barbieri and Thomas Elliott. Their work appears in journals such as Infection and Immunity, Microbiology, Journal of Bacteriology, Biochemistry and Journal of Biological Chemistry.

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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