James K. Fleming

887 total citations · 1 hit paper
15 papers, 568 citations indexed

About

James K. Fleming is a scholar working on Physiology, Statistics, Probability and Uncertainty and Surgery. According to data from OpenAlex, James K. Fleming has authored 15 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 6 papers in Statistics, Probability and Uncertainty and 5 papers in Surgery. Recurrent topics in James K. Fleming's work include Clinical Laboratory Practices and Quality Control (7 papers), Meta-analysis and systematic reviews (5 papers) and Statistical Methods in Clinical Trials (3 papers). James K. Fleming is often cited by papers focused on Clinical Laboratory Practices and Quality Control (7 papers), Meta-analysis and systematic reviews (5 papers) and Statistical Methods in Clinical Trials (3 papers). James K. Fleming collaborates with scholars based in United States, Italy and Australia. James K. Fleming's co-authors include Allan S. Jaffe, Amar A Sethi, James D. Otvos, Alan T. Remaley, Qian Sun, Roa Harb, Robert D. Shamburek, Maureen Sampson, Sarah Delaney and Russell Warnick and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Clinical Chemistry.

In The Last Decade

James K. Fleming

13 papers receiving 555 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia

2020 312 citations Maureen Sampson, Qian Sun et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
James K. Fleming United States	9	287	251	144	97	89	15	568
Lorin M Bachmann United States	14	345 1.2×	344 1.4×	137 1.0×	136 1.4×	26 0.3×	29	821
Mogens Lytken Larsen Denmark	14	723 2.5×	478 1.9×	71 0.5×	286 2.9×	33 0.4×	32	1.0k
Annpey Pong United States	14	176 0.6×	364 1.5×	53 0.4×	41 0.4×	21 0.2×	56	791
Alistair Roddick United Kingdom	6	225 0.8×	360 1.4×	43 0.3×	288 3.0×	20 0.2×	14	770
Tae‐Dong Jeong South Korea	14	93 0.3×	38 0.2×	75 0.5×	69 0.7×	28 0.3×	80	594
Huub H. van Rossum Netherlands	18	156 0.5×	63 0.3×	384 2.7×	17 0.2×	317 3.6×	56	844
Xiuzhi Guo China	15	47 0.2×	134 0.5×	89 0.6×	32 0.3×	50 0.6×	39	502
Beatriz Boned Spain	13	84 0.3×	47 0.2×	328 2.3×	35 0.4×	173 1.9×	20	528
Haseeb Jafri United States	6	185 0.6×	98 0.4×	10 0.1×	98 1.0×	15 0.2×	11	409
Daniel J. Moriarty United States	5	446 1.6×	202 0.8×	37 0.3×	178 1.8×	6 0.1×	8	624

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-authorship network of co-authors of James K. Fleming

This figure shows the co-authorship network connecting the top 25 collaborators of James K. Fleming. A scholar is included among the top collaborators of James K. Fleming based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James K. Fleming. James K. Fleming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Fleming, James K., et al.. (2025). A strategy to increase identification of patients with Familial Hypercholesterolemia: Application of the Simon Broome lipid criteria in a large-scale retrospective analysis. American Journal of Preventive Cardiology. 21. 100930–100930.

Katayev, Alex & James K. Fleming. (2021). In reply to a review article “Review of potentials and limitations of indirect approaches for estimating reference limits/intervals of quantitative procedures in laboratory medicine”. SHILAP Revista de lepidopterología. 46(1). 79–80.

Fleming, James K., et al.. (2021). Development of nation-wide reference intervals using an indirect method and harmonized assays. Clinical Biochemistry. 99. 20–59. 2 indexed citations

Sampson, Maureen, Qian Sun, Roa Harb, et al.. (2020). A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia. JAMA Cardiology. 5(5). 540–540. 312 indexed citations breakdown →

Fleming, James K., et al.. (2020). Past, present, and future of laboratory quality control: patient- based real-time quality control or when getting more quality at less cost is not wishful thinking. Journal of Laboratory and Precision Medicine. 5. 28–28. 22 indexed citations

Ricchiuti, Vincent, et al.. (2018). Automated Processing and Evaluation of Anti-Nuclear Antibody Indirect Immunofluorescence Testing. Frontiers in Immunology. 9. 927–927. 17 indexed citations

Miller, W. Greg, Gary L. Horowitz, Ferruccio Ceriotti, et al.. (2016). Reference Intervals: Strengths, Weaknesses, and Challenges. Clinical Chemistry. 62(7). 916–923. 19 indexed citations

Fleming, James K., et al.. (2014). Changing the paradigm of laboratory quality control through implementation of real-time test results monitoring: For patients by patients. Clinical Biochemistry. 48(7-8). 508–513. 59 indexed citations

Fleming, James K., et al.. (2014). Patient results and laboratory test accuracy. International Journal of Health Care Quality Assurance. 27(1). 65–70. 5 indexed citations

10.

Fleming, James K., et al.. (2014). Reference Intervals Data Mining. American Journal of Clinical Pathology. 143(1). 134–142. 48 indexed citations

11.

Fleming, James K.. (2007). Evaluation of HbA1c on the Roche COBAS Integra 800 closed tube system. Clinical Biochemistry. 40(11). 822–827. 17 indexed citations

12.

Lanman, Richard B., Robert L. Wolfert, James K. Fleming, et al.. (2006). Lipoprotein‐Associated Phospholipase A₂: Review and Recommendation of a Clinical Cut Point for Adults. Preventive Cardiology. 9(3). 138–143. 40 indexed citations

13.

Fredrickson, Herbert L., Edward J. Perkins, Todd S. Bridges, et al.. (2001). Towards environmental toxicogenomics — development of a flow-through, high-density DNA hybridization array and its application to ecotoxicity assessment. The Science of The Total Environment. 274(1-3). 137–149. 12 indexed citations

14.

Fleming, James K., et al.. (1988). Definitive characterization of uric acid as an interferent in peroxidase indicator reactions and a proposed mechanism of action. Clinical Biochemistry. 21(1). 27–32. 7 indexed citations

15.

Fleming, James K. & Richard H. Gadsden. (1987). Assessment of phosphatidylcholine, lysophosphatidylcholine, and sphingomyelin in human serum. Clinical Biochemistry. 20(4). 249–256. 8 indexed citations

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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