William Gottschalk

2.0k citations
39 papers · 1.3k · h-index 22

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Adipose Tissue and Metabolism

Papers in

    • Metabolism, Diabetes, and Cancer 8
    • Peroxisome Proliferator-Activated Receptors 4
    • Bioinformatics and Genomic Networks 4
    • Alzheimer's disease research and treatments 9
    • Adipose Tissue and Metabolism 3

William Gottschalk

39 papers receiving 1.2k citations

Peers

William Gottschalk
Comparison fields: 5 of 101
  • Physiology 417
  • Biochemistry 87
  • Molecular Biology 727
  • Aging 14
  • Biological Psychiatry 17
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Elham Amini Iran
Mitsi A. Blount United States
Michelle Lockhart New Zealand
Nobushige Yamashita Japan
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Citations per field
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Citations per year

Countries citing papers authored by William Gottschalk

Since Specialization
Citations

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

Fields of papers citing papers by William Gottschalk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001288
2 199897
3 201468
4 201467
5 201261
6 201353
7 201651
8 199150
9 202146
10 201744
11 201840
12 200239
13 200235
14 199735
15 198833
16 201428
17 200925
18 198125
19 201724
20 201624

About William Gottschalk

William Gottschalk is a scholar working on Molecular Biology, Physiology, Surgery, Biochemistry and Computational Theory and Mathematics, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (8 papers), Biochemical Acid Research Studies (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Physiology (417 citations), Biochemistry (87 citations), Molecular Biology (727 citations), Aging (14 citations) and Biological Psychiatry (17 citations). William Gottschalk has collaborated with scholars based in United States, Netherlands and Finland. Frequent co-authors include Michael W. Lutz, Ann M. Saunders, Allen D. Roses, Scott S. Sundseth, Ornit Chiba‐Falek, Daniel K. Burns, James M. Way, Traci A. Mansfield, Steven A. Kliewer and W. Wallace Harrington. Their work appears in journals such as Alzheimer s & Dementia, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Anesthesia & Analgesia.

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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