Tyler G. Kimbrough

1.1k citations
12 papers · 924 indexed · h-index 10
Topics
Bacterial Genetics and Biotechnology (4 papers)Salmonella and Campylobacter epidemiology (3 papers)Bacteriophages and microbial interactions (3 papers)

In The Last Decade

Tyler G. Kimbrough

12 papers receiving 917 citations

Peers

Tyler G. Kimbrough
Comparison fields: 5 of 55
  • Genetics 467
  • Molecular Biology 415
  • Endocrinology 356
  • Ecology 177
  • Food Science 146
Replace Isabel Rodríguez‐Escudero with:
Isabel Rodríguez‐Escudero Spain
Claire T'Kint de Roodenbeke France
Peter Hume United Kingdom
Rosemary Fernandez United States
Avital Tidhar Israel
Francesca Romana Cianfanelli United Kingdom
Daniel Humphreys United Kingdom
Katherine Smollett United Kingdom
Clasien J. Oomen Netherlands
P. Vögeli Switzerland
Tyler G. Kimbrough relative to Isabel Rodríguez‐Escudero Spain Isabel Rodríguez‐Escudero's profile →
Citations per field
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Isabel Rodríguez‐Escudero · 1×
Citations per year

Countries citing papers authored by Tyler G. Kimbrough

Since Specialization
Citations

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

Fields of papers citing papers by Tyler G. Kimbrough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler G. Kimbrough. 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 Tyler G. Kimbrough. The network helps show where Tyler G. Kimbrough may publish in the future.

Co-authorship network of co-authors of Tyler G. Kimbrough

This figure shows the co-authorship network connecting the top 25 collaborators of Tyler G. Kimbrough. A scholar is included among the top collaborators of Tyler G. Kimbrough based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tyler G. Kimbrough. Tyler G. Kimbrough is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 25
3 161
4 14
5 156
6 78
7 42
8 198
9 49
10 96
11 100
12 4

About Tyler G. Kimbrough

Tyler G. Kimbrough is a scholar working on Endocrinology, Molecular Medicine and Genetics, having authored 12 papers that have together received 924 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Salmonella and Campylobacter epidemiology (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Endocrinology (356 citations), Genetics (467 citations) and Molecular Medicine (75 citations). Tyler G. Kimbrough has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Samuel I. Miller, Christopher H. Clegg, Elizabeth J. Norton, Patrick A. Navas, G. Stamatoyannopoulos, Kenneth R. Peterson, M. Vuckovic, Richard A. Pfuetzner, B. Brett Finlay and Calvin K. Yip. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Genetics.

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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