M R Milner

1.7k total citations · 1 hit paper
7 papers, 1.4k citations indexed

About

M R Milner is a scholar working on Physiology, Cell Biology and Surgery. According to data from OpenAlex, M R Milner has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Cell Biology and 1 paper in Surgery. Recurrent topics in M R Milner's work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (3 papers) and Diet and metabolism studies (2 papers). M R Milner is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (3 papers) and Diet and metabolism studies (2 papers). M R Milner collaborates with scholars based in United States, Australia and United Kingdom. M R Milner's co-authors include Stephen Lillioja, David Pan, Louise A. Baur, A. D. Kriketos, Clifton Bogardus, A. B. Jenkins, Leonard H Storlien, L. H. Storlien, Richard E. Pratley and C. Bogardus and has published in prestigious journals such as Journal of Clinical Investigation, Diabetes and Diabetologia.

In The Last Decade

M R Milner

7 papers receiving 1.3k 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.

Skeletal Muscle Triglyceride Levels Are Inversely Related to Insulin Action

1997 937 citations David Pan, Stephen Lillioja et al. Diabetes profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M R Milner United States	7	1.0k	496	406	250	198	7	1.4k
Gabby B. Hul Netherlands	20	919 0.9×	254 0.5×	369 0.9×	186 0.7×	139 0.7×	28	1.3k
Jason R. Berggren United States	10	869 0.9×	635 1.3×	296 0.7×	208 0.8×	77 0.4×	11	1.3k
D. E. Kelley United States	5	1.1k 1.1×	508 1.0×	324 0.8×	266 1.1×	279 1.4×	5	1.5k
Christina Koutsari United States	24	1.1k 1.0×	402 0.8×	258 0.6×	591 2.4×	323 1.6×	37	1.6k
Frédéric Capel France	19	976 1.0×	523 1.1×	179 0.4×	312 1.2×	119 0.6×	57	1.6k
Maria Vamvini United States	12	1.0k 1.0×	486 1.0×	205 0.5×	385 1.5×	137 0.7×	21	1.4k
Myron L shank United States	9	633 0.6×	322 0.6×	242 0.6×	226 0.9×	384 1.9×	10	1.1k
D. M. Bier United States	14	591 0.6×	291 0.6×	428 1.1×	83 0.3×	295 1.5×	20	1.2k
Trudy J. Yost United States	19	669 0.7×	205 0.4×	140 0.3×	253 1.0×	447 2.3×	25	1.3k
Peter Clark Australia	7	469 0.5×	357 0.7×	115 0.3×	194 0.8×	206 1.0×	11	843

Countries citing papers authored by M R Milner

Since Specialization

Citations

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

Fields of papers citing papers by M R Milner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M R Milner

This figure shows the co-authorship network connecting the top 25 collaborators of M R Milner. A scholar is included among the top collaborators of M R Milner 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 M R Milner. M R Milner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Jackman, Matthew R., Éric Ravussin, Mark J. Rowe, et al.. (2008). Effect of a Polymorphism in the ND1 Mitochondrial Gene on Human Skeletal Muscle Mitochondrial Function. Obesity. 16(2). 363–368. 8 indexed citations

2.

Pratley, Richard E., et al.. (2000). Insulin Increases Leptin mRNA Expression in Abdominal Subcutaneous Adipose Tissue in Humans. Molecular Genetics and Metabolism. 70(1). 19–26. 26 indexed citations

3.

Gautier, J.F., M R Milner, Edward El‐Am, et al.. (1999). Visceral adipose tissue is not increased in Pima Indians compared with equally obese Caucasians and is not related to insulin action or secretion. Diabetologia. 42(1). 28–34. 40 indexed citations

4.

Pan, David, Stephen Lillioja, A. D. Kriketos, et al.. (1997). Skeletal Muscle Triglyceride Levels Are Inversely Related to Insulin Action. Diabetes. 46(6). 983–988. 937 indexed citations breakdown →

5.

Kriketos, A. D., David Pan, Stephen Lillioja, et al.. (1996). Interrelationships between muscle morphology, insulin action, and adiposity. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 270(6). R1332–R1339. 116 indexed citations

6.

Pan, David, Stephen Lillioja, M R Milner, et al.. (1995). Skeletal muscle membrane lipid composition is related to adiposity and insulin action.. Journal of Clinical Investigation. 96(6). 2802–2808. 249 indexed citations

7.

Fraser, R. B., et al.. (1992). Cord insulin and C‐peptide—distribution in an unselected population. BJOG An International Journal of Obstetrics & Gynaecology. 99(6). 512–515. 12 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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