Ján Laco

158 papers receiving 3.6k citations

Ján Laco's Hit Papers

Mammary Analogue Secretory Carcinoma of Salivary Glands, Containing the ETV6-NTRK3 Fusion Gene: A Hitherto Undescribed Salivary Gland Tumor Entity 2010 · 717 citations
7170+5+10Years since publication200400600

Peers

Ján Laco
Comparison fields: 5 of 109
  • Oral Surgery 622
  • Oncology 1.8k
  • Otorhinolaryngology 284
  • Surgery 1.9k
  • Dermatology 326
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Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by Ján Laco

Since Specialization
Citations

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

Fields of papers citing papers by Ján Laco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ján Laco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ján Laco Line = papers co-authored together Ján Laco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mammary Analogue Secretory Carcinoma of Salivary Glands, Containing the ETV6-NTRK3 Fusion Gene: A Hitherto Undescribed Salivary Gland Tumor Entity
Hit paper breakdown →
2010717
2 2013160
3 2018144
4 2015142
5 1987111
6 2017103
7 2015103
8 201997
9 200887
10 201885
11 201960
12 201857
13 201555
14 201254
15 202051
16 201350
17 201246
18 201746
19 201144
20 201740

About Ján Laco

Ján Laco is a scholar working on Surgery, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Rheumatology, having authored 171 papers that have together received 3.7k indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (31 papers), Ovarian cancer diagnosis and treatment (20 papers), Ear and Head Tumors (19 papers), Head and Neck Cancer Studies (17 papers), Oral and Maxillofacial Pathology (17 papers), Head and Neck Surgical Oncology (16 papers), Endometrial and Cervical Cancer Treatments (12 papers) and Epigenetics and DNA Methylation (12 papers). The work is most often cited by research in Oral Surgery (622 citations), Oncology (1.8k citations), Otorhinolaryngology (284 citations), Surgery (1.9k citations) and Dermatology (326 citations). Ján Laco has collaborated with scholars based in Czechia, Germany and Hungary. Frequent co-authors include Aleš Ryška, Alena Skálová, Tomáš Vaněček, Ilmo Leivo, Ilan Weinreb, Michal Michal, Hana Vošmiková, Zdeněk Kinkor, Radek Šíma and Bayardo Perez‐Ordoñez. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The American Journal of Surgical Pathology, Pathology & Oncology Research, Diagnostic Pathology and Journal for ImmunoTherapy of Cancer.

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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