Armin Kasal

603 total citations
10 papers, 450 citations indexed

About

Armin Kasal is a scholar working on Epidemiology, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Armin Kasal has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Obstetrics and Gynecology and 4 papers in Oncology. Recurrent topics in Armin Kasal's work include Cervical Cancer and HPV Research (6 papers), Endometrial and Cervical Cancer Treatments (5 papers) and Colorectal and Anal Carcinomas (2 papers). Armin Kasal is often cited by papers focused on Cervical Cancer and HPV Research (6 papers), Endometrial and Cervical Cancer Treatments (5 papers) and Colorectal and Anal Carcinomas (2 papers). Armin Kasal collaborates with scholars based in Italy, Austria and Switzerland. Armin Kasal's co-authors include Giovanni Negri, Eduard Egarter-Vigl, Christine Mian, Andrea Haitel, Francesco Rivasi, Fabio Vittadello, Fábio Lourenço Romano, Salvatore Girlando, Guido Mazzoleni and Gilbert Spizzo and has published in prestigious journals such as International Journal of Cancer, The American Journal of Surgical Pathology and Journal of Clinical Pathology.

In The Last Decade

Armin Kasal

10 papers receiving 438 citations

Peers

Armin Kasal

EPIDE

SURGE

ONCOL

Reiko Furuta Japan

Barbara Tringler Austria

Oliver Brummer Germany

B. Bolger United Kingdom

Lina Ghabreau Syria

Sakiko Kojiro Japan

Louise De Brot Brazil

Cheepsumon Suthipintawong Thailand

M Hilgarth Germany

Suchanan Hanamornroongruang Thailand

Reiko Furuta Japan

Armin Kasal

258 ×0.8

EPIDE

136 ×0.6

SURGE

101 ×0.7

ONCOL

98 ×1.1

92 ×1.5

Citations per year, relative to Armin Kasal Armin Kasal (= 1×) peers Reiko Furuta

Countries citing papers authored by Armin Kasal

Since Specialization

Citations

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

Fields of papers citing papers by Armin Kasal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Kasal

This figure shows the co-authorship network connecting the top 25 collaborators of Armin Kasal. A scholar is included among the top collaborators of Armin Kasal 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 Armin Kasal. Armin Kasal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Negri, Giovanni, et al.. (2020). Non‐human papilloma virus associated adenocarcinomas of the cervix uteri. Cytologic features and diagnostic agreement using whole slide digital cytology imaging. Diagnostic Cytopathology. 49(2). 316–321. 3 indexed citations

Seeber, Andreas, Gerold Untergasser, Gilbert Spizzo, et al.. (2016). Predominant expression of truncated EpCAM is associated with a more aggressive phenotype and predicts poor overall survival in colorectal cancer. International Journal of Cancer. 139(3). 657–663. 20 indexed citations

Fong, Dominic, Andreas Seeber, Luigi Terracciano, et al.. (2014). Expression of EpCAM ^MF and EpCAM ^MT variants in human carcinomas. Journal of Clinical Pathology. 67(5). 408–414. 42 indexed citations

Fong, Dominic, Patrizia Moser, Armin Kasal, et al.. (2013). Loss of membranous expression of the intracellular domain of EpCAM is a frequent event and predicts poor survival in patients with pancreatic cancer. Histopathology. 64(5). 683–692. 36 indexed citations

Negri, Giovanni, Elisabetta Carico, Gavino Faa, et al.. (2011). Usefulness of p16ink4a, ProEX C, and Ki-67 for the Diagnosis of Glandular Dysplasia and Adenocarcinoma of the Cervix Uteri. International Journal of Gynecological Pathology. 30(4). 407–413. 15 indexed citations

Negri, Giovanni, Gian Franco Zannoni, Francesco Rivasi, et al.. (2008). p16ink4a and HPV L1 Immunohistochemistry is Helpful for Estimating the Behavior of Low-grade Dysplastic Lesions of the Cervix Uteri. The American Journal of Surgical Pathology. 32(11). 1715–1720. 55 indexed citations

Negri, Giovanni, et al.. (2006). Laminin-5 γ2 chain immunohistochemistry facilitates the assessment of invasiveness and improves the diagnostic reproducibility of glandular lesions of the cervix uteri. Human Pathology. 37(6). 704–710. 10 indexed citations

Negri, Giovanni, Gianluigi Moretto, Fabio Vittadello, et al.. (2006). Immunocytochemistry of p16 ^INK4a in liquid-based cervicovaginal specimens with modified Papanicolaou counterstaining. Journal of Clinical Pathology. 59(8). 827–830. 9 indexed citations

Negri, Giovanni, Fabio Vittadello, Fábio Lourenço Romano, et al.. (2004). P16INK4a expression and progression risk of low-grade intraepithelial neoplasia of the cervix uteri. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 445(6). 616–620. 122 indexed citations

10.

Negri, Giovanni, et al.. (2003). p16INK4a Is a Useful Marker for the Diagnosis of Adenocarcinoma of the Cervix Uteri and Its Precursors. The American Journal of Surgical Pathology. 27(2). 187–193. 138 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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