Judith A. Mongold

1.1k citations
9 papers · 739 · h-index 9

Impact in

  • Genetics top 5%
    • Evolution and Genetic Dynamics
    • Genetic diversity and population structure
    • Bacterial Genetics and Biotechnology

Papers in

Judith A. Mongold

9 papers receiving 723 citations

Peers

Judith A. Mongold
Comparison fields: 5 of 73
  • Genetics 515
  • Ecological Modeling 30
  • Ecology, Evolution, Behavior and Systematics 134
  • Ecology 173
  • Endocrinology 29
Replace Susan F. Bailey with:
Susan F. Bailey Canada
Jenna Gallie Germany
Francesca Fiegna Switzerland
Travis T. Kibota United States
Peter D. Fields Switzerland
Stephan Peischl Switzerland
Mickaël Le Gac France
Maria E. Orive United States
Rosemary O. Shade United States
Jürgen W. Hottinger Switzerland
Judith A. Mongold relative to Susan F. Bailey Canada Susan F. Bailey's profile →
Citations per field
00.5×1.5×1.9×
Susan F. Bailey · 1×
Citations per year

Countries citing papers authored by Judith A. Mongold

Since Specialization
Citations

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

Fields of papers citing papers by Judith A. Mongold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith A. Mongold. 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 Judith A. Mongold. The network helps show where Judith A. Mongold may publish in the future.

Co-authors

The 6 scholars most cited alongside Judith A. Mongold, 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 Judith A. Mongold Line = papers co-authored together Judith A. Mongold links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1995356
2 1998117
3 199671
4 199245
5 199640
6 199940
7 199228
8 199624
9 199918

About Judith A. Mongold

Judith A. Mongold is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Public Health, Environmental and Occupational Health and Physical and Theoretical Chemistry, having authored 9 papers that have together received 739 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Evolutionary Game Theory and Cooperation (6 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Gene Regulatory Network Analysis (2 papers), Bacterial Genetics and Biotechnology (2 papers), thermodynamics and calorimetric analyses (2 papers), Bacterial biofilms and quorum sensing (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Genetics (515 citations), Ecological Modeling (30 citations), Ecology, Evolution, Behavior and Systematics (134 citations), Ecology (173 citations) and Endocrinology (29 citations). Judith A. Mongold has collaborated with scholars based in United States. Frequent co-authors include Richard E. Lenski, Albert F. Bennett, Michael Travisano, Paul Sniegowski, Thomas M. Schmidt and Philip J. Gerrish. Their work appears in journals such as Evolution, Science, Journal of Bacteriology, Genetics and Antonie van Leeuwenhoek.

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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