James K. Fleming

926 citations
15 papers · 592 · 1 hit paper · h-index 9

Impact in

Papers in

    • Clinical Laboratory Practices and Quality Control 7
    • Lipoproteins and Cardiovascular Health 2

James K. Fleming

13 papers receiving 580 citations

James K. Fleming's Hit Papers

A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia 2020 · 331 citations
3310+2+4Years since publication100200300

Peers

James K. Fleming
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 145
  • Statistics, Probability and Uncertainty 51
  • Physiology 105
  • Surgery 140
  • Statistics and Probability 29
Replace Nuthar Jassam with:
Nuthar Jassam United Kingdom
Elveback Lr United States
Elisabet González-Lao Spain
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Citations per field
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Citations per year

Countries citing papers authored by James K. Fleming

Since Specialization
Citations

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

Fields of papers citing papers by James K. Fleming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James K. Fleming. 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 James K. Fleming. The network helps show where James K. Fleming may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia
Hit paper breakdown →
2020331
2 201460
3 201449
4 200640
5 202022
6 201620
7 201818
8 200717
9 200112
10 19878
11 19887
12 20145
13 20213
14 20210
15 20250

About James K. Fleming

James K. Fleming is a scholar working on Physiology, Surgery, Statistics, Probability and Uncertainty, Pathology and Forensic Medicine and Molecular Biology, having authored 15 papers that have together received 592 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (7 papers), Meta-analysis and systematic reviews (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Biomedical Research and Pathophysiology (1 paper), Gene expression and cancer classification (1 paper), Metabolism and Genetic Disorders (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (145 citations), Statistics, Probability and Uncertainty (51 citations), Physiology (105 citations), Surgery (140 citations) and Statistics and Probability (29 citations). James K. Fleming has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Allan S. Jaffe, Alan T. Remaley, Jeff W. Meeusen, Qian Sun, Sarah Delaney, Maureen Sampson, Roa Harb, Mohmed Ashmaig, James D. Otvos and Robert D. Shamburek. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, The Science of The Total Environment, Frontiers in Immunology and JAMA Cardiology.

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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