Michael J. Becich

4.2k total citations
81 papers, 2.6k citations indexed

About

Michael J. Becich is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael J. Becich has authored 81 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 18 papers in Surgery and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael J. Becich's work include Bladder and Urothelial Cancer Treatments (9 papers), Estrogen and related hormone effects (5 papers) and Urological Disorders and Treatments (5 papers). Michael J. Becich is often cited by papers focused on Bladder and Urothelial Cancer Treatments (9 papers), Estrogen and related hormone effects (5 papers) and Urological Disorders and Treatments (5 papers). Michael J. Becich collaborates with scholars based in United States, United Kingdom and Switzerland. Michael J. Becich's co-authors include Herbert Lepor, Ellen Shapiro, Timothy L. Ratliff, Victor Hartanto, Robert H. Getzenberg, Robert R. Bahnson, Badrinath R. Konety, Rajiv Dhir, Gary G. Schwartz and William A. LaFramboise and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Michael J. Becich

79 papers receiving 2.5k 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 J. Becich United States 26 840 744 683 420 336 81 2.6k
Sheldon Bastacky United States 35 967 1.2× 868 1.2× 839 1.2× 336 0.8× 303 0.9× 123 3.7k
Chin‐Chen Pan Taiwan 33 951 1.1× 997 1.3× 848 1.2× 164 0.4× 595 1.8× 100 2.8k
Pamela D. Unger United States 31 602 0.7× 1.1k 1.4× 992 1.5× 240 0.6× 478 1.4× 138 3.1k
Georg Steiner Austria 26 668 0.8× 566 0.8× 232 0.3× 420 1.0× 452 1.3× 40 2.2k
Galina Pizov Israel 25 766 0.9× 812 1.1× 605 0.9× 174 0.4× 373 1.1× 67 2.6k
J E Tomaszewski United States 22 829 1.0× 1.4k 1.8× 505 0.7× 145 0.3× 490 1.5× 45 3.1k
Yoshitatsu Fukabori Japan 23 1.0k 1.2× 971 1.3× 162 0.2× 255 0.6× 328 1.0× 89 2.3k
Funda Vakar‐Lopez United States 25 905 1.1× 1.0k 1.4× 410 0.6× 116 0.3× 490 1.5× 59 2.2k
Jorge L. Yao United States 32 940 1.1× 2.0k 2.6× 1.0k 1.5× 178 0.4× 691 2.1× 74 3.4k
Dingwei Ye China 28 1.6k 1.9× 1.1k 1.5× 741 1.1× 272 0.6× 698 2.1× 151 3.2k

Countries citing papers authored by Michael J. Becich

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Becich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Becich

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Becich. A scholar is included among the top collaborators of Michael J. Becich 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 J. Becich. Michael J. Becich 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.
Chitnis, Tanuja, Ferhan Qureshi, Michael J. Becich, et al.. (2024). Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis. Nature Communications. 15(1). 4297–4297. 10 indexed citations
2.
Oniani, David, Bambang Parmanto, Andi Saptono, et al.. (2023). ReDWINE: A clinical datamart with text analytical capabilities to facilitate rehabilitation research. International Journal of Medical Informatics. 177. 105144–105144. 2 indexed citations
3.
LaFramboise, William A., Reetesh K. Pai, Patti Petrosko, et al.. (2019). Discrimination of low- and high-grade appendiceal mucinous neoplasms by targeted sequencing of cancer-related variants. Modern Pathology. 32(8). 1197–1209. 16 indexed citations
4.
Rienzo, Assunta De, Robert W. Cook, Jeff Wilkinson, et al.. (2016). Validation of a Gene Expression Test for Mesothelioma Prognosis in Formalin-Fixed Paraffin-Embedded Tissues. Journal of Molecular Diagnostics. 19(1). 65–71. 8 indexed citations
5.
Nasu, Masaki, Mitsuru Emi, Sandra Pastorino, et al.. (2015). High Incidence of Somatic BAP1 Alterations in Sporadic Malignant Mesothelioma. Journal of Thoracic Oncology. 10(4). 565–576. 216 indexed citations
6.
Möller, David R., Laura L. Koth, Lisa A. Maier, et al.. (2015). Rationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) Study. Sarcoidosis Protocol. Annals of the American Thoracic Society. 12(10). 1561–1571. 54 indexed citations
7.
Strange, Charlie, Robert M. Senior, Frank C. Sciurba, et al.. (2015). Rationale and Design of the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis Study. Alpha-1 Protocol. Annals of the American Thoracic Society. 12(10). 1551–1560. 9 indexed citations
8.
LaFramboise, William A., Deborah Scalise, Paul Stoodley, et al.. (2007). Cardiac fibroblasts influence cardiomyocyte phenotype in vitro. American Journal of Physiology-Cell Physiology. 292(5). C1799–C1808. 131 indexed citations
9.
Cannon, Glenn M., Charles R. Pound, Douglas Landsittel, et al.. (2004). Perineural invasion in prostate cancer biopsies is not associated with higher rates of positive surgical margins. The Prostate. 63(4). 336–340. 23 indexed citations
10.
Wang, Jianzhou, et al.. (2003). Expression of inducible nitric oxide synthase in paired neoplastic and non-neoplastic primary prostate cell cultures and prostatectomy specimen. Urologic Oncology Seminars and Original Investigations. 21(2). 117–122. 43 indexed citations
11.
Krill, Diane, et al.. (2001). Expression patterns of vitamin D receptor in human prostate. Journal of Cellular Biochemistry. 82(4). 566–572. 35 indexed citations
12.
Konety, Badrinath R., Rajiv Dhir, Roger Day, et al.. (2000). Detection of bladder cancer using a novel nuclear matrix protein, BLCA-4.. PubMed. 6(7). 2618–25. 98 indexed citations
13.
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15.
Becich, Michael J., et al.. (1997). Left atrial myxoma with embolization presenting as an acute infrarenal aortic occlusion. Journal of Vascular Surgery. 26(2). 341–345. 21 indexed citations
16.
Romkes, Marjorie, Timothy G. Lesnick, Michael J. Becich, et al.. (1996). Association of low CYP3A activity with p53 mutation and CYP2D6 activity with Rb mutation in human bladder cancer. Carcinogenesis. 17(5). 1057–1062. 11 indexed citations
17.
Ratliff, Timothy L., et al.. (1995). Role of the Immune Response in Interstitial Cystitis. Clinical Immunology and Immunopathology. 74(3). 209–216. 44 indexed citations
18.
Orenstein, Susan R., et al.. (1994). Quantitative Computer-Assisted Image Analysis of Suction Biopsy in Pediatric Gastroesophageal Reflux. Pediatric Pathology. 14(4). 653–664. 16 indexed citations
19.
Becich, Michael J., et al.. (1992). Arrested Maturation of Cerebral Neurons, Axons and Myelin: A New Familial Syndrome of Newborns. Neuropediatrics. 23(4). 180–187. 3 indexed citations
20.
Ratner, Lee, et al.. (1991). Formation of Noninfectious HIV-1 Virus Particles Lacking a Full-Length Envelope Protein. AIDS Research and Human Retroviruses. 7(3). 287–294. 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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