Daniel Pelot

1.1k citations
14 papers · 905 · h-index 10

Impact in

    • Amino Acid Enzymes and Metabolism
    • Inflammatory mediators and NSAID effects
    • Cannabis and Cannabinoid Research

Papers in

    • Pancreatitis Pathology and Treatment 4
    • Pancreatic function and diabetes 2
    • Polyamine Metabolism and Applications 3
    • Epigenetics and DNA Methylation 1

Daniel Pelot

13 papers receiving 866 citations

Peers

Daniel Pelot
Comparison fields: 5 of 98
  • Biochemistry 178
  • Pharmacology 186
  • Oncology 176
  • Molecular Biology 402
  • Cancer Research 76
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Citations per field
00.5×2.9×
Carolyn E. Cole · 1×
Citations per year

Countries citing papers authored by Daniel Pelot

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pelot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008395
2 1962128
3 1998101
4 199481
5 200947
6 200747
7 197442
8 200826
9
Comparative assessment of gastric emptying by the "Barium-Burger" and saline load tests.
197213
10 199810
11 19878
12 19786
13
Hepatic enzyme elevations associated with baclofen.
19841
14
PIPIDA excretory scintigraphy in the diagnosis of hepatobiliary disorders.
19810

About Daniel Pelot

Daniel Pelot is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Hematology, having authored 14 papers that have together received 905 indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (4 papers), Polyamine Metabolism and Applications (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Pancreatic function and diabetes (2 papers), Estrogen and related hormone effects (1 paper), Epigenetics and DNA Methylation (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Biochemistry (178 citations), Pharmacology (186 citations), Oncology (176 citations), Molecular Biology (402 citations) and Cancer Research (76 citations). Daniel Pelot has collaborated with scholars based in United States and South Africa. Frequent co-authors include Frank L. Meyskens, Eugene W. Gerner, Morton I. Grossman, Christine E. McLaren, Peter Lance, Steven Goldschmid, Sharon Fujikawa-Brooks, Daniel L. Gillen, Scott S. Emerson and Philip M. Carpenter. Their work appears in journals such as Cancer Prevention Research, JNCI Journal of the National Cancer Institute, Annals of Surgery, American Journal of Physiology-Legacy Content and Amino Acids.

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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