Vera Schultz

1.3k citations
22 papers · 1.1k · h-index 18

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 6
    • Biochemical and Molecular Research 3
    • Pancreatic function and diabetes 11

Vera Schultz

22 papers receiving 1.0k citations

Peers

Vera Schultz
Comparison fields: 5 of 86
  • Physiology 102
  • Endocrinology, Diabetes and Metabolism 223
  • Clinical Biochemistry 71
  • Surgery 414
  • Physiology 230
Replace Gordon C. Yaney with:
Gordon C. Yaney United States
Carol A. Delaney United Kingdom
Gary D. Lopaschuk Canada
Carmen Fotino United States
William A. Chutkow United States
Richard B. Wambolt Canada
Corentin Cras‐Méneur United States
Kathleen C. Zawalich United States
Kimberley M. Mellor Australia
Yoshinori Kanoh Japan
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Citations per field
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Citations per year

Countries citing papers authored by Vera Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Vera Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004182
2 1978105
3 1996100
4 197699
5 200970
6 199568
7 199653
8 199350
9 200047
10 200739
11 198829
12 199129
13 200127
14 199025
15 201524
16 199424
17 198822
18 200319
19 200717
20 199017

About Vera Schultz

Vera Schultz is a scholar working on Molecular Biology, Surgery, Physiology, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Adipose Tissue and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Adenosine and Purinergic Signaling (3 papers), Biochemical and Molecular Research (3 papers), Diabetes and associated disorders (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Physiology (102 citations), Endocrinology, Diabetes and Metabolism (223 citations), Clinical Biochemistry (71 citations), Surgery (414 citations) and Physiology (230 citations). Vera Schultz has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Keith Tornheim, John M. Lowenstein, Barbara E. Corkey, Per‐Olof Berggren, Luigino Nascimben, Ilka Pinz, Beverly H. Lorell, Rong Tian, Joanne S. Ingwall and Jude T. Deeney. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Analytical Biochemistry, Diabetes and American Journal of Physiology-Endocrinology and Metabolism.

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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