J.M. McKibbin

2.2k citations
33 papers · 1.3k indexed · h-index 21

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Glycosylation and Glycoproteins Research
    • Sphingolipid Metabolism and Signaling

Papers in

    • Metabolism and Genetic Disorders 4
    • Glycosylation and Glycoproteins Research 15
    • Sphingolipid Metabolism and Signaling 4
    • Metabolomics and Mass Spectrometry Studies 3

J.M. McKibbin

33 papers receiving 1.1k citations

Peers

J.M. McKibbin
Comparison fields: 5 of 86
  • Hematology 158
  • Molecular Biology 950
  • Radiology, Nuclear Medicine and Imaging 264
  • Organic Chemistry 270
  • Biochemistry 66
Replace Klaus Stellner with:
Klaus Stellner United States
Bader Siddiqui United States
Jerzy Kościelak Poland
Akira Kobata Japan
Flavio Gruezo United States
James S. Whitehead United States
R Bourrillon France
Caroline W. Easley United States
Hideo Yoshima Japan
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J.M. McKibbin relative to Klaus Stellner United States Klaus Stellner's profile →
Citations per field
00.5×2.7×
Klaus Stellner · 1×
Citations per year

Countries citing papers authored by J.M. McKibbin

Since Specialization
Citations

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

Fields of papers citing papers by J.M. McKibbin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. McKibbin. 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 J.M. McKibbin. The network helps show where J.M. McKibbin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 198574
2 198542
3 1983146
4 198290
5 19813
6 197876
7 197732
8 197539
9 197527
10 197520
11 19743
12 197221
13 19714
14 19624
15 195691
16 195325
17 195331
18 19531
19 19525
20 195110

About J.M. McKibbin

J.M. McKibbin is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Physiology and Hematology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism and Genetic Disorders (4 papers), Diet, Metabolism, and Disease (4 papers), Diabetes and associated disorders (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Hematology (158 citations), Molecular Biology (950 citations), Radiology, Nuclear Medicine and Imaging (264 citations), Organic Chemistry (270 citations) and Biochemistry (66 citations). J.M. McKibbin has collaborated with scholars based in United States and Sweden. Frequent co-authors include Elizabeth Smith, Sen‐itiroh Hakomori, K.-A. Karlsson, Kazuo Abe, Mary Jane Spiro, Bo E. Samuelsson, Henrik Clausen, Göran Larson, Gunnar C. Hansson and I. Pascher. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Experimental Biology and Medicine, Journal of Lipid Research and Chemistry and Physics of Lipids.

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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