Megan E. Kobiela

689 citations
19 papers · 445 indexed · h-index 12
Topics
Plant and animal studies (8 papers)Animal Behavior and Reproduction (5 papers)Insect and Arachnid Ecology and Behavior (3 papers)

In The Last Decade

Megan E. Kobiela

17 papers receiving 440 citations

Peers

Megan E. Kobiela
Comparison fields: 5 of 67
  • Ecology, Evolution, Behavior and Systematics 191
  • Ecology 141
  • Genetics 121
  • Insect Science 74
  • Molecular Biology 68
Replace Masahiro Kon with:
Masahiro Kon Japan
Kevin Pauwels Belgium
Fabio Cianferoni Italy
Mathilde Cordellier Germany
Marie‐Claude Larivière New Zealand
Karsten Hannig Germany
Cristian Dambros Brazil
Michael R. Warburg Israel
Viktor Nilsson‐Örtman Sweden
Harlan M. Gough United States
Megan E. Kobiela relative to Masahiro Kon Japan Masahiro Kon's profile →
Citations per field
00.5×4.7×
Masahiro Kon · 1×
Citations per year

Countries citing papers authored by Megan E. Kobiela

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Kobiela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Kobiela. 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 Megan E. Kobiela. The network helps show where Megan E. Kobiela may publish in the future.

Co-authorship network of co-authors of Megan E. Kobiela

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. Kobiela. A scholar is included among the top collaborators of Megan E. Kobiela 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 Megan E. Kobiela. Megan E. Kobiela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 16
4 1
5 24
6 5
7 20
8 16
9 8
10 15
11 112
12 76
13 11
14 15
15 40
16 11
17 48
18 5
19 22

About Megan E. Kobiela

Megan E. Kobiela is a scholar working on Ecology, Evolution, Behavior and Systematics, Aging and Ecological Modeling, having authored 19 papers that have together received 445 indexed citations. Recurring topics across this work include Plant and animal studies (8 papers), Animal Behavior and Reproduction (5 papers) and Insect and Arachnid Ecology and Behavior (3 papers). The work is most often cited by research in Ecological Modeling (46 citations), Ecology, Evolution, Behavior and Systematics (191 citations) and Insect Science (74 citations). Megan E. Kobiela has collaborated with scholars based in United States, Netherlands and Mexico. Frequent co-authors include Emilie C. Snell‐Rood, Kristin Sikkink, Joel W. McGlothlin, Edmund D. Brodie, John P. Swaddle, Daniel A. Cristol, Jonathan B. Losos, Jason J. Kolbe, D. Luke Mahler and Timothy S. Mitchell. Their work appears in journals such as Current Biology, The American Naturalist and Biophysical Journal.

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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