Lisa Ott

750 citations
25 papers · 528 · h-index 14

Impact in

Papers in

Lisa Ott

22 papers receiving 518 citations

Peers

Lisa Ott
Comparison fields: 5 of 73
  • Endocrinology 305
  • Clinical Biochemistry 95
  • Infectious Diseases 149
  • Small Animals 60
  • Epidemiology 157
Replace Shih-Hua Teng with:
Shih-Hua Teng Taiwan
Chungyu Chang United States
Cécile Nicolas France
Lindsay G. Stevenson United States
Edeltraud Lüneberg Germany
Daniel Steil Germany
Bettina Schiffler Germany
Berit Sondén Sweden
Douglas W. Griffith Canada
Ravin Seepersaud United States
Lisa Ott relative to Shih-Hua Teng Taiwan Shih-Hua Teng's profile →
Citations per field
00.5×4.8×
Shih-Hua Teng · 1×
Citations per year

Countries citing papers authored by Lisa Ott

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 200859
3 201059
4 201138
5 201536
6 201035
7 201231
8 201730
9 201520
10 201219
11 202219
12 201817
13 201717
14 201513
15 201513
16 201210
17 20198
18 20175
19
Enforced Disappearance in International Law
20115
20 20233

About Lisa Ott

Lisa Ott is a scholar working on Endocrinology, Infectious Diseases, Epidemiology, Molecular Biology and Clinical Biochemistry, having authored 25 papers that have together received 528 indexed citations. Recurring topics across this work include Diphtheria, Corynebacterium, and Tetanus (14 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Mycobacterium research and diagnosis (6 papers), Toxin Mechanisms and Immunotoxins (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Torture, Ethics, and Law (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Endocrinology (305 citations), Clinical Biochemistry (95 citations), Infectious Diseases (149 citations), Small Animals (60 citations) and Epidemiology (157 citations). Lisa Ott has collaborated with scholars based in Germany, United Kingdom and Brazil. Frequent co-authors include Andreas Burkovski, Martina Höller, Tilman E. Schäffer, Johannes Rheinlaender, Michael Hensel, Elena Hacker, Roman G. Gerlach, Kay Marin, Reinhard Krämer and Vasco Azevedo. Their work appears in journals such as Microbiology, BMC Microbiology, International Journal of Molecular Sciences, Virulence and International Review of the Red Cross.

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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