Jay D. Pearson

10.1k total citations · 2 hit papers
65 papers, 6.7k citations indexed

About

Jay D. Pearson is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Jay D. Pearson has authored 65 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 7 papers in Rheumatology. Recurrent topics in Jay D. Pearson's work include Prostate Cancer Diagnosis and Treatment (23 papers), Prostate Cancer Treatment and Research (19 papers) and Hormonal and reproductive studies (6 papers). Jay D. Pearson is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (23 papers), Prostate Cancer Treatment and Research (19 papers) and Hormonal and reproductive studies (6 papers). Jay D. Pearson collaborates with scholars based in United States, United Kingdom and Denmark. Jay D. Pearson's co-authors include E. Jeffrey Metter, S. Mitchell Harman, Marc R. Blackman, Jordan D. Tobin, Larry J. Brant, Alan W. Partin, Patrick C. Walsh, Christopher H. Morrell, Jonathan I. Epstein and James L. Fozard and has published in prestigious journals such as Journal of the American Statistical Association, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jay D. Pearson

65 papers receiving 6.3k citations

Hit Papers

Longitudinal Effects of Aging on Serum Total and Free Tes... 2001 2026 2009 2017 2001 2001 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay D. Pearson United States 32 2.6k 1.7k 873 826 697 65 6.7k
Stephen K. Van Den Eeden United States 52 1.2k 0.5× 1.1k 0.6× 1.3k 1.5× 2.0k 2.5× 1.7k 2.5× 218 10.6k
David Ray United Kingdom 61 1.2k 0.5× 2.2k 1.3× 2.3k 2.6× 634 0.8× 1.1k 1.5× 272 12.3k
Marinus A. Blankenstein Netherlands 62 949 0.4× 2.0k 1.1× 2.6k 3.0× 313 0.4× 613 0.9× 306 12.2k
Martha M. Faraday United States 25 1.9k 0.8× 477 0.3× 1.6k 1.9× 1.2k 1.5× 1.0k 1.4× 37 5.4k
Harold Snieder Netherlands 65 603 0.2× 1.8k 1.0× 2.9k 3.3× 834 1.0× 979 1.4× 404 15.4k
Margery Gass United States 46 682 0.3× 5.6k 3.2× 1.1k 1.2× 754 0.9× 465 0.7× 110 12.4k
Tom R. Gaunt United Kingdom 47 880 0.3× 993 0.6× 5.6k 6.4× 820 1.0× 1.0k 1.5× 200 13.8k
Timothy G. Lesnick United States 51 563 0.2× 504 0.3× 1.6k 1.9× 328 0.4× 373 0.5× 188 11.2k
Chol Shin South Korea 49 1.3k 0.5× 819 0.5× 897 1.0× 189 0.2× 568 0.8× 361 8.7k
C. Mary Beard United States 48 669 0.3× 530 0.3× 1.1k 1.3× 580 0.7× 1.9k 2.7× 85 8.2k

Countries citing papers authored by Jay D. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Jay D. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay D. Pearson. 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 Jay D. Pearson. The network helps show where Jay D. Pearson may publish in the future.

Co-authorship network of co-authors of Jay D. Pearson

This figure shows the co-authorship network connecting the top 25 collaborators of Jay D. Pearson. A scholar is included among the top collaborators of Jay D. Pearson 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 Jay D. Pearson. Jay D. Pearson 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.
Williams, Janet B. W., Kenneth A. Kobak, Per Bech, et al.. (2008). The GRID-HAMD: standardization of the Hamilton Depression Rating Scale. International Clinical Psychopharmacology. 23(3). 120–129. 231 indexed citations
2.
Morrell, Christopher H., Larry J. Brant, Jay D. Pearson, Geert Verbeke, & Jerome L. Fleg. (2003). Applying Linear Mixed-Effects Models to the Problem of Measurement Error in Epidemiologic Studies. Communications in Statistics - Simulation and Computation. 32(2). 437–459. 4 indexed citations
3.
Harman, S. Mitchell, E. Jeffrey Metter, Jordan D. Tobin, Jay D. Pearson, & Marc R. Blackman. (2001). Longitudinal Effects of Aging on Serum Total and Free Testosterone Levels in Healthy Men. The Journal of Clinical Endocrinology & Metabolism. 86(2). 724–731. 2034 indexed citations breakdown →
4.
Carter, H.Ballentine & Jay D. Pearson. (1999). Prostate-specific antigen testing for early diagnosis of prostate cancer: formulation of guidelines. Urology. 54(5). 780–786. 26 indexed citations
5.
Thiel, R., Jay D. Pearson, Jonathan I. Epstein, Patrick C. Walsh, & H. Ballentine Carter. (1997). Role of prostate-specific antigen velocity in prediction of final pathologic stage in men with localized prostate cancer. Urology. 49(5). 716–720. 22 indexed citations
6.
Morrell, Christopher H., Jay D. Pearson, & Larry J. Brant. (1997). Linear Transformations of Linear Mixed-Effects Models. The American Statistician. 51(4). 338–343. 105 indexed citations
7.
Pearson, Jay D., et al.. (1997). Age-Associated Changes in Blood Pressure in a Longitudinal Study of Healthy Men and Women. The Journals of Gerontology Series A. 52A(3). M177–M183. 106 indexed citations
8.
Pearson, Jay D., et al.. (1997). PROSTATE-SPECIFIC ANTIGEN VELOCITY AND REPEATED MEASURES OF PROSTATE-SPECIFIC ANTIGEN. Urologic Clinics of North America. 24(2). 333–338. 45 indexed citations
9.
Morrell, Christopher H., Jay D. Pearson, Larry J. Brant, & Sandra Gordon‐Salant. (1997). Construction of hearing percentiles in women with non-constant variance from the linear mixed-effects model. Statistics in Medicine. 16(21). 2475–2488. 11 indexed citations
10.
Pearson, Jay D., Albert A. Luderer, E. Jeffrey Metter, et al.. (1996). Longitudinal analysis of serial measurements of free and total PSA among men with and without prostatic cancer. Urology. 48(6). 4–9. 52 indexed citations
11.
Ship, Jonathan A., et al.. (1996). Longitudinal Changes in Smell Identification. The Journals of Gerontology Series A. 51A(2). M86–M91. 83 indexed citations
12.
Gloth, F. Michael, et al.. (1995). RELIABILITY AND VALIDITY OF THE FRAIL ELDERLY FUNCTIONAL ASSESSMENT QUESTIONNAIRE. American Journal of Physical Medicine & Rehabilitation. 74(1). 45–53. 55 indexed citations
13.
Carter, H. Ballentine, Jay D. Pearson, E. Jeffrey Metter, et al.. (1995). Longitudinal evaluation of serum androgen levels in men with and without prostate cancer. The Prostate. 27(1). 25–31. 107 indexed citations
14.
Partin, Alan W., Charles R. Pound, Jay D. Pearson, et al.. (1994). Evaluation of serum prostate-specific antigen velocity after radical prostatectomy to distinguish local recurrence from distant metastases. Urology. 43(5). 649–659. 328 indexed citations
15.
Pearson, Jay D., Christopher H. Morrell, Patricia K. Landis, H. Ballentine Carter, & Larry J. Brant. (1994). Mixed‐effects regression models for studying the natural history of prostate disease. Statistics in Medicine. 13(5-7). 587–601. 57 indexed citations
16.
Metter, E. Jeffrey, et al.. (1992). How Comparable Are Healthy 60-and 80-Year-Old Men?. Journal of Gerontology. 47(3). M73–M78. 11 indexed citations
17.
Hanna, Joel M., et al.. (1990). Selective migration from Samoa: A longitudinal study of pre‐migration differences in social and psychological characteristics. Social Biology. 37(3-4). 204–214. 9 indexed citations
18.
Pearson, Jay D.. (1990). Estimation of energy expenditure in Western Samoa, American Samoa, and Honolulu by recall interviews and direct observation. American Journal of Human Biology. 2(3). 313–326. 9 indexed citations
19.
Pearson, Jay D. & Joel M. Hanna. (1989). Selective migration as a bias in modernization studies: Premigration differences in morphology and blood pressure among 15–30 year‐old American Samoans. American Journal of Human Biology. 1(3). 263–269. 10 indexed citations
20.
Pearson, Jay D. & Douglas E. Crews. (1989). Evolutionary, biosocial, and cross‐cultural perspectives on the variability in human biological aging. American Journal of Human Biology. 1(3). 303–306. 4 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026