Kimberly J. Dougherty

2.2k citations
33 papers · 1.5k indexed · h-index 22

Kimberly J. Dougherty

30 papers receiving 1.5k citations

Peers

Kimberly J. Dougherty
Comparison fields: 5 of 87
  • Developmental Neuroscience 274
  • Endocrine and Autonomic Systems 324
  • Cell Biology 648
  • Cellular and Molecular Neuroscience 547
  • Pathology and Forensic Medicine 349
Replace Simon Gosgnach with:
Simon Gosgnach Canada
Frédéric Brocard France
Guillermo M. Lanuza Argentina
Julien Bouvier France
Katharina A. Quinlan United States
Marie‐Claude Perreault Norway
Brian J. Schmidt Canada
Ingela Hammar Sweden
A. Lev‐Tov Israel
Konstantinos Ampatzis Sweden
Kimberly J. Dougherty relative to Simon Gosgnach Canada Simon Gosgnach's profile →
Citations per field
00.5×1.5×1.9×
Simon Gosgnach · 1×
Citations per year

Countries citing papers authored by Kimberly J. Dougherty

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly J. Dougherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly J. Dougherty. 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 Kimberly J. Dougherty. The network helps show where Kimberly J. Dougherty may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20238
5 202223
6 20229
7 20225
8 202130
9 202113
10 20207
11 201934
12 201840
13 201859
14 201769
15 2015108
16 201173
17 201091
18 200929
19 200524
20 200530

About Kimberly J. Dougherty

Kimberly J. Dougherty is a scholar working on Developmental Neuroscience, Cell Biology and Endocrine and Autonomic Systems, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (23 papers), Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroscience of respiration and sleep (9 papers), Spinal Cord Injury Research (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Developmental Biology and Gene Regulation (5 papers), Neuroendocrine regulation and behavior (3 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Developmental Neuroscience (274 citations), Endocrine and Autonomic Systems (324 citations) and Cell Biology (648 citations). Kimberly J. Dougherty has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Ole Kiehn, Lotta Borgius, Martin Hägglund, Ngoc T. Ha, Natalia A. Shevtsova, Ilya A. Rybak, Shawn Hochman, David L. McLean, Lyandysha V. Zholudeva and Michael A. Lane. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

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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