Michael H. Weinstein

1.5k total citations
28 papers, 1.2k citations indexed

About

Michael H. Weinstein is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology. According to data from OpenAlex, Michael H. Weinstein has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 9 papers in Rheumatology and 8 papers in Molecular Biology. Recurrent topics in Michael H. Weinstein's work include Prostate Cancer Diagnosis and Treatment (9 papers), Urologic and reproductive health conditions (8 papers) and Prostate Cancer Treatment and Research (8 papers). Michael H. Weinstein is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (9 papers), Urologic and reproductive health conditions (8 papers) and Prostate Cancer Treatment and Research (8 papers). Michael H. Weinstein collaborates with scholars based in United States and United Kingdom. Michael H. Weinstein's co-authors include Jonathan I. Epstein, Jerome P. Richie, Robert W. Veltri, Alan W. Partin, Jonathan I. Epstein, Massimo Loda, Sabina Signoretti, Vivek M. Rangnekar, Stephen F. Sells and Anthony V. D’Amico and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Oncogene.

In The Last Decade

Michael H. Weinstein

27 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael H. Weinstein United States 17 593 419 215 200 155 28 1.2k
Preeti Lal United States 11 568 1.0× 336 0.8× 252 1.2× 97 0.5× 389 2.5× 22 1.7k
Wei‐Hsin Lin Taiwan 16 271 0.5× 310 0.7× 193 0.9× 326 1.6× 172 1.1× 40 1.0k
David Clouston Australia 20 557 0.9× 453 1.1× 209 1.0× 279 1.4× 163 1.1× 49 1.3k
Charlotte Becker Sweden 25 1.0k 1.8× 355 0.8× 129 0.6× 193 1.0× 217 1.4× 46 1.7k
Esther I. Verhoef Netherlands 18 681 1.1× 247 0.6× 190 0.9× 190 0.9× 88 0.6× 36 1.0k
Hans Rutz Switzerland 19 811 1.4× 161 0.4× 374 1.7× 170 0.8× 237 1.5× 37 1.4k
Shulin Wu United States 23 691 1.2× 670 1.6× 136 0.6× 342 1.7× 220 1.4× 63 1.6k
Geert J. van Leenders Netherlands 21 1.2k 2.1× 559 1.3× 316 1.5× 258 1.3× 214 1.4× 27 1.7k
Thomas A. Stamey United States 12 1.1k 1.9× 244 0.6× 403 1.9× 118 0.6× 176 1.1× 15 1.3k
Fumiya Hongo Japan 17 342 0.6× 435 1.0× 50 0.2× 217 1.1× 152 1.0× 108 973

Countries citing papers authored by Michael H. Weinstein

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Weinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Weinstein. 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 Michael H. Weinstein. The network helps show where Michael H. Weinstein may publish in the future.

Co-authorship network of co-authors of Michael H. Weinstein

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Weinstein. A scholar is included among the top collaborators of Michael H. Weinstein 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 Michael H. Weinstein. Michael H. Weinstein 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.
Pal, Sumanta K., Melissa A. Reimers, Benjamin Garmezy, et al.. (2024). A phase 1/2, open-label, multicenter, dose escalation and cohort expansion study of the safety and efficacy of anti-CD70 allogeneic CRISPR-Cas9–engineered T cells (CTX131) in adult patients with relapsed or refractory solid tumors.. Journal of Clinical Oncology. 42(16_suppl). TPS2676–TPS2676. 4 indexed citations
2.
Nguyen, Paul L., Douglas I. Lin, Jun-Yi Lei, et al.. (2009). The impact of Skp2 overexpression on recurrence-free survival following radical prostatectomy. Urologic Oncology Seminars and Original Investigations. 29(3). 302–308. 19 indexed citations
3.
Weinstein, Michael H.. (2006). The Role of the Pathologist in Diagnosing Prostate Cancer and Guiding Therapy. North Carolina Medical Journal. 67(2). 140–145. 3 indexed citations
4.
Lee, Andrew K., Ming‐Hui Chen, Andrew A. Renshaw, et al.. (2003). Can the core length involved with prostate cancer identify clinically insignificant disease in low risk patients diagnosed on the basis of a single positive core?. Urologic Oncology Seminars and Original Investigations. 21(2). 123–127. 16 indexed citations
5.
Zheng, Yaxin, Ye Xu, Bin Ye, et al.. (2003). Prostate carcinoma tissue proteomics for biomarker discovery. Cancer. 98(12). 2576–2582. 76 indexed citations
6.
7.
Weinstein, Michael H., Sabina Signoretti, & Massimo Loda. (2002). Diagnostic Utility of Immunohistochemical Staining for p63, a Sensitive Marker of Prostatic Basal Cells. Modern Pathology. 15(12). 1302–1308. 92 indexed citations
8.
Schultz, Delray, Richard Whittington, Bruce Malkowicz, et al.. (2002). Using PSA, biopsy Gleason score, clinical stage, and the percentage of positive biopsies to identify optimal candidates for prostate-only radiation therapy. International Journal of Radiation Oncology*Biology*Physics. 53(4). 898–903. 29 indexed citations
9.
Liu, Brian C.‐S., et al.. (2001). Expression of telomerase subunits in normal and neoplastic prostate epithelial cells isolated by laser capture microdissection. Cancer. 92(7). 1943–1948. 19 indexed citations
10.
Weinstein, Michael H. & Paola Dal Cin. (2001). Genetics of epithelial tumors of the renal parenchyma in adults and renal cell carcinoma in children.. PubMed. 23(5). 362–72. 3 indexed citations
11.
Valentino, Joseph, et al.. (2000). Radiation and Intra-arterial Cisplatin. Archives of Otolaryngology - Head and Neck Surgery. 126(2). 215–215. 6 indexed citations
12.
Alam, Mahmood, Richard Scott Morehead, & Michael H. Weinstein. (2000). Dermatomyositis as a Presentation of Pulmonary Inflammatory Pseudotumor (Myofibroblastic Tumor). CHEST Journal. 117(6). 1793–1795. 10 indexed citations
13.
14.
Sells, Stephen F., Yang Shi, McClellan M. Walther, et al.. (1999). Decreased expression of the pro-apoptotic protein Par-4 in renal cell carcinoma. Oncogene. 18(5). 1205–1208. 93 indexed citations
15.
16.
Weinstein, Michael H., David L. Greenspan, & Jonathan I. Epstein. (1998). Diagnoses rendered on prostate needle biopsy in community hospitals. The Prostate. 35(1). 50–55. 24 indexed citations
17.
Weinstein, Michael H. & Jonathan I. Epstein. (1997). Telepathology diagnosis of prostate needle biopsies. Human Pathology. 28(1). 22–29. 69 indexed citations
18.
Boghaert, Erwin R., Stephen F. Sells, Neil M. Williams, et al.. (1997). Immunohistochemical analysis of the proapoptotic protein Par-4 in normal rat tissues.. PubMed. 8(8). 881–90. 62 indexed citations
19.
Weinstein, Michael H., Alan W. Partin, Robert W. Veltri, & Jonathan I. Epstein. (1996). Neuroendocrine differentiation in prostate cancer: Enhanced prediction of progression after radical prostatectomy. Human Pathology. 27(7). 683–687. 160 indexed citations
20.
Weinstein, Michael H. & Jonathan I. Epstein. (1993). Significance of high-grade prostatic intraepithelial neoplasia on needle biopsy. Human Pathology. 24(6). 624–629. 129 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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