Gesa Witt

683 citations
14 papers · 329 · h-index 11

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Biochemical and Molecular Research 2
    • Trypanosoma species research and implications 5
    • Pneumocystis jirovecii pneumonia detection and treatment 1

Gesa Witt

13 papers receiving 312 citations

Peers

Gesa Witt
Comparison fields: 5 of 87
  • Communication 34
  • Toxicology 11
  • Political Science and International Relations 72
  • Organic Chemistry 57
  • Statistics and Probability 16
Replace Frederick J. Boehm with:
Frederick J. Boehm United States
J. Henry Richardson United Kingdom
Jian Xie United States
Yu Xiang China
Jörg Potthast Germany
Thomas Lindquist United States
Matevž Bren Slovenia
Amanda Dugan United States
Teresa A. Foster United States
Gesa Witt relative to Frederick J. Boehm United States Frederick J. Boehm's profile →
Citations per field
00.5×11×
Frederick J. Boehm · 1×
Citations per year

Countries citing papers authored by Gesa Witt

Since Specialization
Citations

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

Fields of papers citing papers by Gesa Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017126
2 201830
3 201729
4 201728
5 201824
6 202216
7
How Barack Obama Won: A State-by-State Guide to the Historic 2008 Presidential Election
200916
8 201916
9 201915
10 202013
11 201812
12 20233
13 20161
14 20250

About Gesa Witt

Gesa Witt is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 329 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (5 papers), Research on Leishmaniasis Studies (5 papers), Receptor Mechanisms and Signaling (3 papers), Synthesis and Biological Evaluation (3 papers), Biochemical and Molecular Research (2 papers), Neuropeptides and Animal Physiology (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Communication (34 citations), Toxicology (11 citations), Political Science and International Relations (72 citations), Organic Chemistry (57 citations) and Statistics and Probability (16 citations). Gesa Witt has collaborated with scholars based in Germany, Italy and Portugal. Frequent co-authors include Douglas Rivers, Christopher Wlezien, Sheraz Gul, Philip Gribbon, Courtney Kennedy, Charles Franklin, Joshua D. Clinton, Claire Durand, Kristen Olson and Maria Kuzikov. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Frontiers in Pharmacology, ACS Infectious Diseases and SLAS DISCOVERY.

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.

Explore authors with similar magnitude of impact