John J. Miller

5.6k total citations · 1 hit paper
117 papers, 3.7k citations indexed

About

John J. Miller is a scholar working on Hematology, Immunology and Rheumatology. According to data from OpenAlex, John J. Miller has authored 117 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hematology, 21 papers in Immunology and 18 papers in Rheumatology. Recurrent topics in John J. Miller's work include Autoimmune and Inflammatory Disorders Research (23 papers), Adolescent and Pediatric Healthcare (11 papers) and Childhood Cancer Survivors' Quality of Life (10 papers). John J. Miller is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (23 papers), Adolescent and Pediatric Healthcare (11 papers) and Childhood Cancer Survivors' Quality of Life (10 papers). John J. Miller collaborates with scholars based in United States, Australia and Russia. John J. Miller's co-authors include Ken Fletcher, Jon Kabat‐Zinn, Rudolf H. Moos, Andrew G. Billings, William E. Smiddy, Leonard J. Cole, Darlene Miller, Ingrid U. Scott, Harry W. Flynn and John C. Leissring and has published in prestigious journals such as Nature, The Lancet and Journal of the American Chemical Society.

In The Last Decade

John J. Miller

111 papers receiving 3.3k citations

Hit Papers

Three-year follow-up and clinical implications of a mindf... 1995 2026 2005 2015 1995 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Miller United States 32 910 549 467 370 342 117 3.7k
Francine S. Mandel United States 45 2.8k 3.1× 121 0.2× 180 0.4× 220 0.6× 823 2.4× 107 7.4k
William Lawson United States 60 838 0.9× 144 0.3× 108 0.2× 75 0.2× 148 0.4× 297 10.1k
Carolyn Drews‐Botsch United States 37 306 0.3× 1.2k 2.1× 300 0.6× 107 0.3× 1.0k 2.9× 133 4.1k
Amanda Wilson Australia 38 202 0.2× 149 0.3× 230 0.5× 541 1.5× 220 0.6× 127 5.8k
Mark J. Atkinson United States 23 321 0.4× 93 0.2× 106 0.2× 137 0.4× 180 0.5× 54 3.0k
Deborah Jones United States 33 331 0.4× 524 1.0× 135 0.3× 142 0.4× 135 0.4× 116 4.7k
Udo Schneider Germany 45 810 0.9× 106 0.2× 362 0.8× 715 1.9× 164 0.5× 290 7.0k
Vin Tangpricha United States 63 1.8k 2.0× 97 0.2× 538 1.2× 469 1.3× 1.1k 3.3× 281 15.8k
Anne M. Lynch United States 37 223 0.2× 641 1.2× 229 0.5× 743 2.0× 1.4k 4.0× 175 4.8k
Christoph Engel Germany 39 366 0.4× 126 0.2× 276 0.6× 271 0.7× 157 0.5× 221 5.7k

Countries citing papers authored by John J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by John J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Miller

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

All Works

20 of 20 papers shown
1.
Foster, Susan & John J. Miller. (2025). Teaching a 10-Step Risk Management Model: An Application of Kolb’s Experiential Learning Theory. Sport Management Education Journal. 19(1). 72–79.
2.
Miller, John J.. (2020). Ketamine/esketamine: Putative Mechanisms of Action: Details of How These Agents Produce Rapid Antidepressant Effects Have Been Misrepresented. Current psychiatry. 19(1). 32.
3.
Miller, John J., et al.. (2015). The concussion crisis in the national hockey league. UST Research Online (University of St. Thomas - Minnesota). 9(1). 33. 3 indexed citations
5.
Marcus, Dennis M., et al.. (2001). Sleep Disorders: A Risk Factor for Pseudotumor Cerebri?. Journal of Neuro-Ophthalmology. 21(2). 121–123. 56 indexed citations
6.
Miller, John J., Ken Fletcher, & Jon Kabat‐Zinn. (1995). Three-year follow-up and clinical implications of a mindfulness meditation-based stress reduction intervention in the treatment of anxiety disorders. General Hospital Psychiatry. 17(3). 192–200. 729 indexed citations breakdown →
7.
Timko, Christine, Katherine Stovel, Rudolf H. Moos, & John J. Miller. (1992). Adaptation to juvenile rheumatic disease: A controlled evaluation of functional disability with a one-year follow-up.. Health Psychology. 11(1). 67–76. 4 indexed citations
8.
Colagiuri, Stephen, John J. Miller, & P. Petocz. (1992). Double-blind crossover comparison of human and porcine insulins in patients reporting lack of hypoglycaemia awareness. The Lancet. 339(8807). 1432–1435. 20 indexed citations
9.
Brand‐Miller, Jennie, et al.. (1992). Variability of breath hydrogen excretion in breast-fed infants during the first three months of life. The Journal of Pediatrics. 121(3). 410–413. 5 indexed citations
10.
Miller, John J., et al.. (1990). Effect of yeast lactase enzyme on “colic” in infants fed human milk. The Journal of Pediatrics. 117(2). 261–263. 43 indexed citations
11.
Miller, John J.. (1986). Early-onset “sarcoidosis” and “familial granulomatous arthritis (arteritis)”: The same disease. The Journal of Pediatrics. 109(2). 387–388. 46 indexed citations
12.
Daniels, Denise, John J. Miller, Andrew G. Billings, & Rudolf H. Moos. (1986). Psychosocial functioning of siblings of children with rheumatic disease. The Journal of Pediatrics. 109(2). 379–383. 29 indexed citations
13.
Silverman, Earl D., et al.. (1983). Consumption coagulopathy associated with systemic juvenile rheumatoid arthritis. The Journal of Pediatrics. 103(6). 872–876. 68 indexed citations
14.
Stempel, David A. & John J. Miller. (1977). Lymphopenia and hepatic toxicity with ibuprofen. The Journal of Pediatrics. 90(4). 657–658. 37 indexed citations
15.
Miller, James S. & John J. Miller. (1975). Benign giant lymph node hyperplasia presenting as fever of unknown origin. The Journal of Pediatrics. 87(2). 237–239. 19 indexed citations
16.
Miller, John J., et al.. (1973). Anticonvulsant-induced antinuclear antibodiesand lupus-like disease in children. The Journal of Pediatrics. 82(1). 113–117. 34 indexed citations
17.
Miller, John J.. (1973). Late progression in dermatomyositis in childhood. The Journal of Pediatrics. 83(4). 543–548. 31 indexed citations
18.
Miller, John J., et al.. (1972). Sarcoidosis in a young child. The Journal of Pediatrics. 81(2). 354–357. 31 indexed citations
19.
Miller, John J., et al.. (1972). Familial osteolysis of the carpal and tarsal bones. The Journal of Pediatrics. 81(3). 506–510. 25 indexed citations
20.
Miller, John J. & Leonard J. Cole. (1967). RESISTANCE OF LONG-LIVED LYMPHOCYTES AND PLASMA CELLS IN RAT LYMPH NODES TO TREATMENT WITH PREDNISONE, CYCLOPHOSPHAMIDE, 6-MERCAPTOPURINE, AND ACTINOMYCIN D. The Journal of Experimental Medicine. 126(1). 109–125. 86 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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