Michelle T. Franklin

1.6k citations
24 papers · 1.1k indexed · 1 hit paper · h-index 14

Michelle T. Franklin

23 papers receiving 1.0k citations

Hit Papers

The Availability of Research Data Declines Rapidly with A...284201320262017202150100150200250

Peers

Michelle T. Franklin
Comparison fields: 5 of 118
  • Information Systems and Management 205
  • Insect Science 363
  • Ecological Modeling 88
  • Ecology, Evolution, Behavior and Systematics 299
  • Statistics, Probability and Uncertainty 82
Replace Dan G. Bock with:
Dan G. Bock Canada
Sébastien Renaut Canada
Jean‐Sébastien Moore Canada
Diana J. Rennison United States
Kimberly J. Gilbert Switzerland
Brook T. Moyers United States
Bastian Greshake Tzovaras United States
Tuul Sepp Estonia
Scott Chamberlain United States
Xiaolei Huang China
Michelle T. Franklin relative to Dan G. Bock Canada Dan G. Bock's profile →
Citations per field
00.5×2.8×
Dan G. Bock · 1×
Citations per year

Countries citing papers authored by Michelle T. Franklin

Since Specialization
Citations

This map shows the geographic impact of Michelle T. Franklin'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 Michelle T. Franklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle T. Franklin more than expected).

Fields of papers citing papers by Michelle T. Franklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle T. Franklin. 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 Michelle T. Franklin. The network helps show where Michelle T. Franklin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20246
3 20244
4 20231
5 202224
6 20213
7 202138
8 201416
9
The Availability of Research Data Declines Rapidly with Article Agebreakdown →
2013284
10 20126
11 201230
12 201022
13 201022
14 200910
15 20092
16 20091
17 20087
18 200580
19 200433
20 200422

About Michelle T. Franklin

Michelle T. Franklin is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Information Systems and Management, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (11 papers), Insect and Pesticide Research (9 papers), Insect Resistance and Genetics (7 papers), Forest Insect Ecology and Management (6 papers), Plant and animal studies (5 papers), Insect behavior and control techniques (5 papers), Research Data Management Practices (2 papers) and Entomopathogenic Microorganisms in Pest Control (2 papers). The work is most often cited by research in Information Systems and Management (205 citations), Insect Science (363 citations) and Ecological Modeling (88 citations). Michelle T. Franklin has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mark L. Winston, Lora A. Morandin, Diana J. Rennison, Sébastien Renaut, Rose L. Andrew, Kimberly J. Gilbert, Dan G. Bock, Tim Vines, Jean‐Sébastien Moore and Brook T. Moyers. Their work appears in journals such as PLoS ONE, Applied and Environmental Microbiology and Current Biology.

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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