L Újszászy

34 total papers · 616 total citations
15 papers, 439 citations indexed

About

L Újszászy is a scholar working on Surgery, Oncology and Epidemiology. According to data from OpenAlex, L Újszászy has authored 15 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in L Újszászy's work include Inflammatory Bowel Disease (4 papers), Colorectal Cancer Treatments and Studies (4 papers) and Gastroesophageal reflux and treatments (4 papers). L Újszászy is often cited by papers focused on Inflammatory Bowel Disease (4 papers), Colorectal Cancer Treatments and Studies (4 papers) and Gastroesophageal reflux and treatments (4 papers). L Újszászy collaborates with scholars based in Hungary, Sweden and United Kingdom. L Újszászy's co-authors include Jonas Carlsson, F. Pacini, Ahmed Madisch, Jarosław Reguła, J.M. Piqué, Károly Kulich, Ingela K. Wiklund, Katarina Halling, Colm O’Morain and Peter Unge and has published in prestigious journals such as Alimentary Pharmacology & Therapeutics, Health and Quality of Life Outcomes and Endoscopy.

In The Last Decade

L Újszászy

15 papers receiving 420 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L Újszászy 253 226 89 68 60 15 439
Tseng‐Shing Chen 262 1.0× 215 1.0× 90 1.0× 47 0.7× 47 0.8× 29 431
Kay L 256 1.0× 279 1.2× 73 0.8× 56 0.8× 44 0.7× 13 475
D R Shreeve 227 0.9× 104 0.5× 80 0.9× 26 0.4× 82 1.4× 16 396
Alphonso Belsito 258 1.0× 125 0.6× 152 1.7× 49 0.7× 19 0.3× 9 383
B Wedmann 184 0.7× 121 0.5× 122 1.4× 59 0.9× 93 1.6× 24 438
Roger D. Mitty 230 0.9× 123 0.5× 65 0.7× 23 0.3× 89 1.5× 14 456
P. Scalabrini 214 0.8× 268 1.2× 58 0.7× 43 0.6× 74 1.2× 16 409
Sven Moberg 159 0.6× 106 0.5× 33 0.4× 55 0.8× 128 2.1× 24 443
Lihua Peng 179 0.7× 147 0.7× 48 0.5× 33 0.5× 32 0.5× 21 414
Martin E. Eisner 188 0.7× 122 0.5× 50 0.6× 68 1.0× 25 0.4× 15 382

Countries citing papers authored by L Újszászy

Since Specialization
Citations

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

Fields of papers citing papers by L Újszászy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Újszászy

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

All Works

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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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2026