Daniel L. Kilpatrick

3.1k citations
57 papers · 2.4k · h-index 28

Impact in

Papers in

Daniel L. Kilpatrick

57 papers receiving 2.3k citations

Peers

Daniel L. Kilpatrick
Comparison fields: 5 of 101
  • Cellular and Molecular Neuroscience 1.1k
  • Reproductive Medicine 218
  • Developmental Neuroscience 103
  • Molecular Biology 1.7k
  • Behavioral Neuroscience 79
Replace Vivian R. Albert with:
Vivian R. Albert United States
Michael D. Conkright United States
C. Hindelang France
James E. Garrett United States
Yiai Tong Canada
Paul S. Amieux United States
Paul R. Dobner United States
M. Marcinkiewicz Canada
C. Pantaloni France
Steven L. Sabol United States
Daniel L. Kilpatrick relative to Vivian R. Albert United States Vivian R. Albert's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel L. Kilpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Kilpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Kilpatrick. 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 Daniel L. Kilpatrick. The network helps show where Daniel L. Kilpatrick may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983258
2 1980229
3 1996215
4 1982172
5 1981114
6 1981112
7 198864
8 199960
9 198659
10 199656
11 199053
12 200451
13 198251
14 200746
15 198244
16 198936
17 198836
18 199535
19 198235
20 198235

About Daniel L. Kilpatrick

Daniel L. Kilpatrick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Reproductive Medicine and Developmental Neuroscience, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (17 papers), Receptor Mechanisms and Signaling (15 papers), Epigenetics and DNA Methylation (8 papers), RNA Research and Splicing (7 papers), Hypothalamic control of reproductive hormones (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), RNA Interference and Gene Delivery (5 papers) and Sperm and Testicular Function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Reproductive Medicine (218 citations), Developmental Neuroscience (103 citations), Molecular Biology (1.7k citations) and Behavioral Neuroscience (79 citations). Daniel L. Kilpatrick has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Sidney Udenfriend, Norman Kirshner, Ruta Slepetis, Stephan P. Persengiev, Barry Jones, Kohichi Kojima, Wei Wang, James Corcoran, Clarke F. Millette and Keith A. Carson. Their work appears in journals such as Molecular and Cellular Biology, Molecular Endocrinology, Archives of Biochemistry and Biophysics, Journal of Neurochemistry and Proceedings of the National Academy of Sciences.

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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