Bob McClellan

519 citations
5 papers · 123 · h-index 5

Impact in

Papers in

    • Genetic Associations and Epidemiology 4
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetic and phenotypic traits in livestock 1

Bob McClellan

5 papers receiving 122 citations

Peers

Bob McClellan
Comparison fields: 5 of 40
  • Genetics 68
  • Endocrinology, Diabetes and Metabolism 28
  • Aging 2
  • Cardiology and Cardiovascular Medicine 22
  • Cancer Research 13
Replace Christina Loley with:
Christina Loley Germany
K. Radha Mani India
Z. Turki Tunisia
Khaled Lasram Tunisia
Ágnes Sallai Hungary
Emioli Randazzo Italy
Assen Goudev Bulgaria
Gordana Stipančić Croatia
Lisa D.S. Bloomer United Kingdom
Marten A. Siemelink Netherlands
Bob McClellan relative to Christina Loley Germany Christina Loley's profile →
Citations per field
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Christina Loley · 1×
Citations per year

Countries citing papers authored by Bob McClellan

Since Specialization
Citations

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

Fields of papers citing papers by Bob McClellan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Bob McClellan, 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 Bob McClellan Line = papers co-authored together Bob McClellan links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 201452
2 201429
3 201425
4 201310
5 20127

About Bob McClellan

Bob McClellan is a scholar working on Genetics, Surgery, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 123 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Lipid metabolism and disorders (1 paper), Folate and B Vitamins Research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Alcohol Consumption and Health Effects (1 paper), Genetic and phenotypic traits in livestock (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Gallbladder and Bile Duct Disorders (1 paper). The work is most often cited by research in Genetics (68 citations), Endocrinology, Diabetes and Metabolism (28 citations), Aging (2 citations), Cardiology and Cardiovascular Medicine (22 citations) and Cancer Research (13 citations). Bob McClellan has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include J.R. Boston, Dana C. Crawford, Robert Goodloe, Ping Mayo, Nathalie Schnetz‐Boutaud, Kristin Brown‐Gentry, Raquel Villegas, Marylyn D. Ritchie, Hailing Jin and Sarah A. Pendergrass. Their work appears in journals such as BMC Genetics, Circulation Cardiovascular Genetics, PLoS Genetics, BMC Medical Genetics and PubMed.

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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