William R. Sukov

4.8k total citations
114 papers, 3.0k citations indexed

About

William R. Sukov is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, William R. Sukov has authored 114 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pulmonary and Respiratory Medicine, 31 papers in Oncology and 28 papers in Molecular Biology. Recurrent topics in William R. Sukov's work include Sarcoma Diagnosis and Treatment (23 papers), Cancer Genomics and Diagnostics (18 papers) and Renal cell carcinoma treatment (12 papers). William R. Sukov is often cited by papers focused on Sarcoma Diagnosis and Treatment (23 papers), Cancer Genomics and Diagnostics (18 papers) and Renal cell carcinoma treatment (12 papers). William R. Sukov collaborates with scholars based in United States, Czechia and Germany. William R. Sukov's co-authors include John C. Cheville, Andrew L. Folpe, R. Houston Thompson, Bradley C. Leibovich, Christine M. Lohse, Anne E. Wiktor, Jennelle C. Hodge, Robert B. Jenkins, Sarah M. Jenkins and Wonwoo Shon and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer.

In The Last Decade

William R. Sukov

110 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William R. Sukov United States 34 1.7k 957 924 625 548 114 3.0k
Ryma Benayed United States 33 2.1k 1.2× 1.0k 1.1× 1.5k 1.6× 474 0.8× 458 0.8× 85 4.0k
Armita Bahrami United States 30 1.1k 0.6× 675 0.7× 978 1.1× 597 1.0× 621 1.1× 99 2.6k
Sadafumi Tamiya Japan 36 1.9k 1.1× 1.2k 1.2× 1.2k 1.3× 563 0.9× 823 1.5× 143 3.6k
James E. Butrynski United States 26 2.0k 1.2× 654 0.7× 1.2k 1.3× 506 0.8× 738 1.3× 52 3.3k
François Le Loarer France 26 1.7k 1.0× 792 0.8× 1.4k 1.5× 270 0.4× 696 1.3× 117 3.0k
Uta Flucke Netherlands 34 1.6k 1.0× 503 0.5× 1.3k 1.4× 756 1.2× 1.1k 1.9× 145 3.2k
Naoto Kuroda Japan 29 2.3k 1.3× 1.9k 2.0× 587 0.6× 697 1.1× 261 0.5× 203 3.3k
Frédéric Chibon France 39 2.6k 1.5× 1.2k 1.3× 1.5k 1.6× 411 0.7× 673 1.2× 117 4.3k
Diana Griffith United States 16 2.7k 1.6× 852 0.9× 742 0.8× 1.4k 2.2× 663 1.2× 22 5.1k
Vickie Y. Jo United States 35 1.7k 1.0× 558 0.6× 1.4k 1.5× 1.5k 2.4× 942 1.7× 115 3.9k

Countries citing papers authored by William R. Sukov

Since Specialization
Citations

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

Fields of papers citing papers by William R. Sukov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William R. Sukov

This figure shows the co-authorship network connecting the top 25 collaborators of William R. Sukov. A scholar is included among the top collaborators of William R. Sukov 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 William R. Sukov. William R. Sukov 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.
Pitel, Beth A., Saba Alvand, Carlos Sosa, et al.. (2025). Evaluation of Atypical Fluorescence in Situ Hybridization Findings by RNA Sequencing. Journal of Molecular Diagnostics. 27(11). 1098–1114.
3.
Ameline, Baptiste, Andrew L. Folpe, Elizabeth M. Azzato, et al.. (2024). ALK‐rearranged, CD34‐positive spindle cell neoplasms resembling dermatofibrosarcoma protuberans: a study of seven cases. Histopathology. 85(4). 649–659. 7 indexed citations
6.
Vaubel, Rachael A., Rahul Kumar, Taylor M. Weiskittel, et al.. (2023). Genomic markers of recurrence risk in atypical meningioma following gross total resection. Neuro-Oncology Advances. 5(1). vdad004–vdad004. 15 indexed citations
7.
Sukov, William R., Jain Zhou, Katherine B. Geiersbach, et al.. (2023). Frequency of HER2 protein overexpression and HER2 gene amplification in endometrial clear cell carcinoma. Human Pathology. 137. 94–101. 5 indexed citations
8.
Sridharan, Vishwajith, Azfar Neyaz, Islam Baiev, et al.. (2022). FGFR mRNA Expression in Cholangiocarcinoma and Its Correlation with FGFR2 Fusion Status and Immune Signatures. Clinical Cancer Research. 28(24). 5431–5439. 9 indexed citations
9.
Geiersbach, Katherine B., Reid G. Meyer, Grant M. Spears, et al.. (2021). Detailed Reanalysis of 500 Breast Cancers With Equivocal HER2 Immunohistochemistry and Borderline ERBB2 Fluorescence In Situ Hybridization Results. American Journal of Clinical Pathology. 156(5). 886–894. 1 indexed citations
10.
Pitel, Beth A., Kathryn E. Pearce, James B. Smadbeck, et al.. (2020). Characterizing false-positive fluorescence in situ hybridization results by mate-pair sequencing in a patient with chronic myeloid leukemia and progression to myeloid blast crisis. Cancer Genetics. 243. 48–51. 8 indexed citations
11.
Vasmatzis, George, Farhad Kosari, Stephen J. Murphy, et al.. (2019). Large Chromosomal Rearrangements Yield Biomarkers to Distinguish Low-Risk From Intermediate- and High-Risk Prostate Cancer. Mayo Clinic Proceedings. 94(1). 27–36. 7 indexed citations
12.
Xing, Deyin, Patricia T. Greipp, William R. Sukov, et al.. (2017). PDGFB Rearrangements in Dermatofibrosarcoma Protuberans of the Vulva: A Study of 11 Cases Including Myxoid and Fibrosarcomatous Variants. International Journal of Gynecological Pathology. 37(6). 537–546. 11 indexed citations
13.
Yoon, Harry H., Mark A. Lewis, Nathan R. Foster, et al.. (2016). Central nervous system relapse in patients with untreated HER2‐positive esophageal or gastroesophageal junction adenocarcinoma. International Journal of Cancer. 139(7). 1626–1631. 10 indexed citations
15.
Viers, Boyd R., William R. Sukov, Matthew T. Gettman, et al.. (2014). Primary Gleason Grade 4 at the Positive Margin Is Associated with Metastasis and Death Among Patients with Gleason 7 Prostate Cancer Undergoing Radical Prostatectomy. European Urology. 66(6). 1116–1124. 29 indexed citations
16.
Sciallis, Andrew P., John K. Schoolmeester, William R. Sukov, et al.. (2014). High-grade Endometrial Stromal Sarcomas. The American Journal of Surgical Pathology. 38(9). 1161–1172. 60 indexed citations
17.
Yoon, Harry H., Qian Shi, William R. Sukov, et al.. (2012). Association of HER2/ErbB2 Expression and Gene Amplification with Pathologic Features and Prognosis in Esophageal Adenocarcinomas. Clinical Cancer Research. 18(2). 546–554. 116 indexed citations
18.
Sukov, William R., Jennelle C. Hodge, Christine M. Lohse, et al.. (2012). TFE3 Rearrangements in Adult Renal Cell Carcinoma. The American Journal of Surgical Pathology. 36(5). 663–670. 118 indexed citations
19.
LeGallo, Robin D., et al.. (2012). Melanotic Xp11.2 Neoplasm of the Ovary. The American Journal of Surgical Pathology. 36(9). 1410–1414. 21 indexed citations
20.
Sukov, William R., et al.. (2010). Development of Five Dual-Color, Double-Fusion Fluorescence in Situ Hybridization Assays for the Detection of Common MLL Translocation Partners. Journal of Molecular Diagnostics. 12(4). 441–452. 9 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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