Katelyn Mika

932 citations
11 papers · 501 indexed · h-index 8
Topics
Reproductive System and Pregnancy (5 papers)Reproductive Physiology in Livestock (5 papers)Genomics and Chromatin Dynamics (2 papers)
Journals
SHILAP Revista de lepidopterologíaGenome ResearchThe American Journal of Human Genetics

In The Last Decade

Katelyn Mika

11 papers receiving 491 citations

Peers

Katelyn Mika
Comparison fields: 5 of 70
  • Molecular Biology 293
  • Plant Science 138
  • Genetics 122
  • Immunology 104
  • Cancer Research 64
Replace Eric M. Erkenbrack with:
Eric M. Erkenbrack United States
Mauris C. Nnamani United States
Alexandre Webster United States
Lisa M. Abegglen United States
Sheryl T. Smith United States
Jane C. Fenelon Australia
Silvia Gravina United States
Yasuhiko Sakoyama Japan
Ashley R. Bonneau United States
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Katelyn Mika relative to Eric M. Erkenbrack United States Eric M. Erkenbrack's profile →
Citations per field
00.5×2.9×
Eric M. Erkenbrack · 1×
Citations per year

Countries citing papers authored by Katelyn Mika

Since Specialization
Citations

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

Fields of papers citing papers by Katelyn Mika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelyn Mika. 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 Katelyn Mika. The network helps show where Katelyn Mika may publish in the future.

Co-authorship network of co-authors of Katelyn Mika

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 4
2 15
3 22
4 33
5 6
6 6
7 25
8 16
9 149
10 13
11 212

About Katelyn Mika

Katelyn Mika is a scholar working on Agronomy and Crop Science, Immunology and Obstetrics and Gynecology, having authored 11 papers that have together received 501 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (5 papers), Reproductive Physiology in Livestock (5 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (37 citations), Immunology (104 citations) and Reproductive Medicine (39 citations). Katelyn Mika has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Vincent J. Lynch, Sravanthi Chigurupati, Lisa Yon, Michael Sulak, Nigel P. Mongan, Richard D. Emes, Marco Trizzino, Márcia Holsbach Beltrame, Katherine A Aracena and Christopher D. Brown. Their work appears in journals such as SHILAP Revista de lepidopterología, Genome Research and The American Journal of Human 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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