Michael Condro

927 citations
24 papers · 532 indexed · h-index 13

Impact in

Papers in

Michael Condro

23 papers receiving 527 citations

Peers

Michael Condro
Comparison fields: 5 of 90
  • Developmental Biology 68
  • Cellular and Molecular Neuroscience 167
  • Neurology 75
  • Developmental Neuroscience 36
  • Behavioral Neuroscience 23
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Mark Eddison United States
Lili C. Kudo United States
Leona H. Gagnon United States
Martha L. Zettel United States
Martin M. Riccomagno United States
Luís Sánchez-Guardado Spain
Paula Fontanet Sweden
Jennifer Kersigo United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Condro

Since Specialization
Citations

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

Fields of papers citing papers by Michael Condro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021127
2 200870
3 202063
4 200746
5 201634
6 202329
7 202325
8 201323
9 201420
10 201519
11 200818
12 201818
13 202115
14 202211
15 20243
16 20232
17 20232
18 20192
19 20221
20 20211

About Michael Condro

Michael Condro is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience, Immunology and Allergy, Cell Biology and Genetics, having authored 24 papers that have together received 532 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (5 papers), Animal Vocal Communication and Behavior (3 papers), Immune cells in cancer (3 papers), Glioma Diagnosis and Treatment (3 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Biology (68 citations), Cellular and Molecular Neuroscience (167 citations), Neurology (75 citations), Developmental Neuroscience (36 citations) and Behavioral Neuroscience (23 citations). Michael Condro has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Stephanie A. White, Daniel H. Geschwind, Harley I. Kornblum, Elizabeth Spiteri, Dawnis M. Chow, Julie E. Miller, Brian J. Duistermars, Mark A. Frye, Steven A. Goldman and Alvaro G. Alvarado. Their work appears in journals such as Neuro-Oncology, Journal of Neurophysiology, Cell Reports, Advanced Healthcare Materials and The Journal of Comparative Neurology.

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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