Lawrence A. Scheving

1.7k citations
45 papers · 1.5k · h-index 22

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Glycosylation and Glycoproteins Research 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Pancreatic function and diabetes 7

Lawrence A. Scheving

45 papers receiving 1.4k citations

Peers

Lawrence A. Scheving
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 254
  • Hepatology 212
  • Aging 26
  • Physiology 246
  • Endocrinology 50
Replace Wataru Motomura with:
Wataru Motomura Japan
Eek Joong Park United States
Simon T. Hui United States
Jian-Ying Wang United States
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Hyokjoon Kwon United States
M. Scott Harris United States
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Citations per field
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Citations per year

Countries citing papers authored by Lawrence A. Scheving

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence A. Scheving

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lawrence A. Scheving. 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 Lawrence A. Scheving. The network helps show where Lawrence A. Scheving may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989139
2 1980127
3 2000113
4 197999
5 200296
6 198378
7 199978
8 200165
9 198356
10 200254
11 198148
12 199340
13 199935
14 201434
15 201631
16
Guanylyl cyclase C is up-regulated by nonparenchymal cells and hepatocytes in regenerating rat liver.
199629
17 201427
18 198226
19 199824
20 200723

About Lawrence A. Scheving

Lawrence A. Scheving is a scholar working on Molecular Biology, Surgery, Endocrine and Autonomic Systems, Hepatology and Cancer Research, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (8 papers), Circadian rhythm and melatonin (8 papers), Pancreatic function and diabetes (7 papers), Escherichia coli research studies (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (254 citations), Hepatology (212 citations), Aging (26 citations), Physiology (246 citations) and Endocrinology (50 citations). Lawrence A. Scheving has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Lawrence E. Scheving, T. H. Tsai, William E. Russell, Yi‐Ching Yeh, Mary C. Stevenson, Gary M. Gray, Toan D. Nguyen, Robert Shiurba, Xiuqi Zhang and Linda Zhang. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Endocrinology, American Journal of Physiology-Cell Physiology, Gastroenterology and Biochemical and Biophysical Research Communications.

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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