William Kielbasa

966 citations
35 papers · 719 · h-index 14

Impact in

Papers in

William Kielbasa

34 papers receiving 699 citations

Peers

William Kielbasa
Comparison fields: 5 of 81
  • Psychiatry and Mental health 235
  • Cellular and Molecular Neuroscience 234
  • Behavioral Neuroscience 33
  • Biological Psychiatry 17
  • Pharmacology 65
Replace John M. Zgombick with:
John M. Zgombick United States
Christian Lange‐Asschenfeldt Germany
Yoshihiro Tohyama Japan
C. Albano Italy
Silje Alvestad Norway
Alan W.C. Yuen United Kingdom
Douglas Hussey Canada
Alberto Bocchetta Italy
Jere Virta Finland
Monika Banach Poland
William Kielbasa relative to John M. Zgombick United States John M. Zgombick's profile →
Citations per field
00.5×5.9×
John M. Zgombick · 1×
Citations per year

Countries citing papers authored by William Kielbasa

Since Specialization
Citations

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

Fields of papers citing papers by William Kielbasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008169
2 200663
3 201952
4 200944
5 201842
6 200834
7 201832
8 201228
9 201924
10 200924
11 202018
12 201418
13 200017
14 201514
15 202013
16 201213
17 199910
18 20139
19 20209
20 20209

About William Kielbasa

William Kielbasa is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 719 indexed citations. Recurring topics across this work include Migraine and Headache Studies (9 papers), Neurotransmitter Receptor Influence on Behavior (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Attention Deficit Hyperactivity Disorder (5 papers), Receptor Mechanisms and Signaling (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Neuropeptides and Animal Physiology (4 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Psychiatry and Mental health (235 citations), Cellular and Molecular Neuroscience (234 citations), Behavioral Neuroscience (33 citations), Biological Psychiatry (17 citations) and Pharmacology (65 citations). William Kielbasa has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Robert E. Stratford, Ho‐Leung Fung, J. Tauscher, Xiaomei Peng, Donald R. Gehlert, Tonya Quinlan, Jodi M. Gilman, Christopher B. Geyer, Stephen P. Hunt and Robert R. Rawlings. Their work appears in journals such as Neurology, Cephalalgia, Journal of Child and Adolescent Psychopharmacology, Alzheimer s & Dementia 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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