Maria Westerhoff

2.3k total citations
116 papers, 1.3k citations indexed

About

Maria Westerhoff is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Maria Westerhoff has authored 116 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Surgery, 39 papers in Epidemiology and 34 papers in Oncology. Recurrent topics in Maria Westerhoff's work include Liver Disease Diagnosis and Treatment (14 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Maria Westerhoff is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Gastric Cancer Management and Outcomes (9 papers). Maria Westerhoff collaborates with scholars based in United States, Canada and Australia. Maria Westerhoff's co-authors include John Hart, Won‐Tak Choi, Jun Sun, Erika C. Claud, Elaine O. Petrof, Paul E. Swanson, Yueyue Yu, Lei Lu, Yuee Guo and Rupert Langer and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Maria Westerhoff

107 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Westerhoff United States 20 471 357 279 277 246 116 1.3k
Mine Güllüoğlu Türkiye 20 478 1.0× 296 0.8× 387 1.4× 243 0.9× 358 1.5× 118 1.4k
Daniela Allende United States 25 514 1.1× 611 1.7× 416 1.5× 296 1.1× 339 1.4× 90 1.6k
Volker Ellenrieder Germany 21 572 1.2× 405 1.1× 558 2.0× 334 1.2× 519 2.1× 111 1.7k
Kazuhiro Koikawa Japan 10 505 1.1× 207 0.6× 438 1.6× 295 1.1× 238 1.0× 15 1.2k
Norimitsu Uza Japan 21 660 1.4× 511 1.4× 446 1.6× 240 0.9× 267 1.1× 78 1.5k
Bita V. Naini United States 23 771 1.6× 462 1.3× 343 1.2× 230 0.8× 211 0.9× 71 1.6k
Vassiliki L. Tsikitis United States 23 534 1.1× 266 0.7× 743 2.7× 255 0.9× 277 1.1× 92 1.6k
Phaik‐Leng Cheah Malaysia 20 266 0.6× 359 1.0× 211 0.8× 178 0.6× 218 0.9× 92 1.1k
Hitoshi Kameyama Japan 18 352 0.7× 111 0.3× 351 1.3× 224 0.8× 175 0.7× 116 984
Sylvain Kirzin France 18 560 1.2× 134 0.4× 699 2.5× 244 0.9× 218 0.9× 41 1.2k

Countries citing papers authored by Maria Westerhoff

Since Specialization
Citations

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

Fields of papers citing papers by Maria Westerhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Westerhoff. 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 Maria Westerhoff. The network helps show where Maria Westerhoff may publish in the future.

Co-authorship network of co-authors of Maria Westerhoff

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Westerhoff. A scholar is included among the top collaborators of Maria Westerhoff 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 Maria Westerhoff. Maria Westerhoff 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.
Adsay, Volkan, Daniela Allende, Sarah M. Jenkins, et al.. (2025). Mucinous cystic neoplasm in men: a comparative study. Histopathology. 87(4). 548–556.
2.
Hakimian, David, Maria Westerhoff, Jerome Cheng, et al.. (2025). The Histologic Spectrum of Rituximab-Associated Common Variable Immunodeficiency-Like Enteropathy. Modern Pathology. 38(8). 100770–100770. 1 indexed citations
5.
Choi, Won‐Tak, Hanlin Wang, Rondell P. Graham, et al.. (2024). Utility of C4d Immunohistochemistry in the Diagnosis of Esophageal Pemphigus Vulgaris. International Journal of Surgical Pathology. 33(2). 337–343. 1 indexed citations
6.
Akarca, Fahire G., Masato Yozu, Lindsay Alpert, et al.. (2023). Non‐conventional dysplasia is frequently associated with low‐grade tubuloglandular and mucinous adenocarcinomas in inflammatory bowel disease. Histopathology. 83(2). 276–285. 16 indexed citations
7.
Cheng, Jerome, et al.. (2023). Utility of Machine Learning to Detect Cytomegalovirus in Digital Hematoxylin and Eosin–Stained Slides. Laboratory Investigation. 103(10). 100225–100225. 1 indexed citations
8.
Marcus, Victoria, et al.. (2023). Portosinusoidal Vascular Disorder: A Heretofore Unrecognized Manifestation of Sickle Cell Disease?. Modern Pathology. 37(1). 100351–100351. 2 indexed citations
9.
Brown, Ian, Stephen M. Lagana, Maria Westerhoff, et al.. (2022). The histological spectrum of ARB‐induced gastritis. Histopathology. 81(5). 653–660. 5 indexed citations
10.
Jing, Zheng, Bing He, Noshad Hosseini, et al.. (2021). Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and transcriptomic data. NAR Genomics and Bioinformatics. 3(1). lqab015–lqab015. 19 indexed citations
11.
Raghavendran, Krishnan, et al.. (2021). Acute hemorrhagic cholecystitis with gallbladder rupture and massive intra-abdominal hemorrhage. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Rowan, Daniel J., Kiran K. Mangalaparthi, Roger K. Moreira, et al.. (2021). Metallothionein immunohistochemistry has high sensitivity and specificity for detection of Wilson disease. Modern Pathology. 35(7). 946–955. 13 indexed citations
13.
Varghese, Mita, Cameron Griffin, Simin Abrishami, et al.. (2021). Sex hormones regulate metainflammation in diet-induced obesity in mice. Journal of Biological Chemistry. 297(5). 101229–101229. 34 indexed citations
14.
Cheng, Jerome, et al.. (2021). Clinical significance of pathologic abnormalities in biopsy samples from the appendiceal orifice. Histopathology. 79(5). 751–757. 1 indexed citations
15.
Karamchandani, Dipti M., Raul S. González, Maria Westerhoff, et al.. (2021). Measuring depth of invasion of submucosa – invasive adenocarcinoma in oesophageal endoscopic specimens: how good are we?☆. Histopathology. 80(2). 420–429.
16.
Karamchandani, Dipti M., Runjan Chetty, Tonya S. King, et al.. (2019). Challenges with colorectal cancer staging: results of an international study. Modern Pathology. 33(1). 153–163. 20 indexed citations
17.
Luebeck, E. Georg, William D. Hazelton, Kit Curtius, et al.. (2018). Implications of Epigenetic Drift in Colorectal Neoplasia. Cancer Research. 79(3). 495–504. 24 indexed citations
18.
Koch, Lisa, et al.. (2018). Carcinoma Cuniculatum: A Rare Cause of a Gastroesophageal Junction Mass. Clinical Gastroenterology and Hepatology. 16(8). A37–A38. 1 indexed citations
19.
Yu, Ming, Andrew M. Kaz, Shelli M. Morris, et al.. (2015). Methylated B3GAT2 and ZNF793 Are Potential Detection Biomarkers for Barrett's Esophagus. Cancer Epidemiology Biomarkers & Prevention. 24(12). 1890–1897. 11 indexed citations
20.
Emond, Mary J., et al.. (2015). "Indefinite for dysplasia" in Barrett's esophagus. Clinical and Translational Gastroenterology. 6(3). 5 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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