Travis K. Johnson

957 citations
44 papers · 602 · h-index 15

Impact in

Papers in

Travis K. Johnson

42 papers receiving 599 citations

Peers

Travis K. Johnson
Comparison fields: 5 of 70
  • Structural Biology 64
  • Aging 22
  • Insect Science 149
  • Cellular and Molecular Neuroscience 146
  • Immunology 108
Replace Richard M. Parton with:
Richard M. Parton United Kingdom
Saikat Chowdhury United States
Inge Erk France
Mikhail L. Markelov Russia
Jan Provazník Germany
Natalie A. Dye Germany
Thomas G.W. Graham United States
T. V. Chepurnykh Russia
Marieke Mastop Netherlands
Travis K. Johnson relative to Richard M. Parton United Kingdom Richard M. Parton's profile →
Citations per field
00.5×3.7×
Richard M. Parton · 1×
Citations per year

Countries citing papers authored by Travis K. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Travis K. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis K. Johnson. 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 Travis K. Johnson. The network helps show where Travis K. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Travis K. Johnson, 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 Travis K. Johnson Line = papers co-authored together Travis K. Johnson 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 201978
2 201363
3 201049
4 201341
5 201526
6 198825
7 201924
8 201323
9 201422
10 201422
11 200820
12 201320
13 201417
14 201414
15 201114
16 201913
17 201711
18 200911
19 20169
20 20208

About Travis K. Johnson

Travis K. Johnson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Ecology and Aging, having authored 44 papers that have together received 602 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 papers), Invertebrate Immune Response Mechanisms (15 papers), Physiological and biochemical adaptations (10 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Developmental Biology and Gene Regulation (7 papers), Heat shock proteins research (5 papers), Mosquito-borne diseases and control (5 papers) and Animal Behavior and Reproduction (4 papers). The work is most often cited by research in Structural Biology (64 citations), Aging (22 citations), Insect Science (149 citations), Cellular and Molecular Neuroscience (146 citations) and Immunology (108 citations). Travis K. Johnson has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Coral G. Warr, James C. Whisstock, Stephen W. McKechnie, Ary A. Hoffmann, Carla M. Sgrò, Marina Telonis‐Scott, Edwige Rancès, Iñaki Iturbe‐Ormaetxe, Gediminas Gervinskas and Roger Pocock. Their work appears in journals such as Genetics, Nature Communications, Molecular Ecology, Open Biology and G3 Genes Genomes 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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