Jennifer Witcher

1.6k citations
32 papers · 1.3k · h-index 17

Impact in

Papers in

Jennifer Witcher

31 papers receiving 1.2k citations

Peers

Jennifer Witcher
Comparison fields: 5 of 86
  • Psychiatry and Mental health 638
  • Pharmacology 176
  • Pharmacology 247
  • Cellular and Molecular Neuroscience 215
  • Biological Psychiatry 24
Replace Michael Paulzen with:
Michael Paulzen Germany
Concetta D’Arrigo Italy
Manickam Aravagiri United States
C. Barnas Austria
I. Gaertner Germany
Kazuo Mihara Japan
K. Otani Japan
Barry E. Gidal United States
George M. Haig United States
Gabriel Eckermann Germany
Jennifer Witcher relative to Michael Paulzen Germany Michael Paulzen's profile →
Citations per field
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Michael Paulzen · 1×
Citations per year

Countries citing papers authored by Jennifer Witcher

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Witcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005180
2 2001120
3 2007120
4 2003118
5 200391
6 201481
7 200279
8 200754
9 200453
10 200352
11 201549
12 201437
13 201134
14 201534
15 200924
16 201418
17 199717
18 202015
19 201614
20 199612

About Jennifer Witcher

Jennifer Witcher is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pharmacology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (10 papers), Pharmacogenetics and Drug Metabolism (5 papers), Treatment of Major Depression (4 papers), Neuropeptides and Animal Physiology (4 papers), Pharmaceutical studies and practices (4 papers), Receptor Mechanisms and Signaling (3 papers), Bipolar Disorder and Treatment (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Psychiatry and Mental health (638 citations), Pharmacology (176 citations), Pharmacology (247 citations), Cellular and Molecular Neuroscience (215 citations) and Biological Psychiatry (24 citations). Jennifer Witcher has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include John‐Michael Sauer, Barbara J. Ring, Amanda Long, Brian P. Smith, Holly R. Thomasson, K A DeSante, Holly A. Read, Joseph Biederman, James T. McCracken and David Michelson. Their work appears in journals such as The Journal of Clinical Pharmacology, Pharmaceutical Research, Journal of Child and Adolescent Psychopharmacology, Clinical Pharmacology & Therapeutics and Drug Metabolism and Disposition.

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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