Katalin Udud

9 total papers · 921 total citations
7 papers, 311 citations indexed

About

Katalin Udud is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Katalin Udud has authored 7 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Katalin Udud's work include Cancer therapeutics and mechanisms (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Katalin Udud is often cited by papers focused on Cancer therapeutics and mechanisms (3 papers), Neuroendocrine Tumor Research Advances (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Katalin Udud collaborates with scholars based in Hungary, France and United States. Katalin Udud's co-authors include Erica Rappold, Suman Redhu, Frank Wu, George R. Blumenschein, Egbert F. Smit, Myung‐Ju Ahn, Nasser H. Hanna, Pasi A. Jänne, Tommaso De Pas and Julien Mazières and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Cancer Letters.

In The Last Decade

Katalin Udud

6 papers receiving 308 citations

Author Peers

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

Author						Papers	Cites
Katalin Udud	215	160	143	49	47	7	311
Stuart Thompson	150 0.7×	159 1.0×	110 0.8×	62 1.3×	24 0.5×	8	363
Soheil Yala	171 0.8×	119 0.7×	102 0.7×	41 0.8×	34 0.7×	6	287
Hailing Jin	182 0.8×	102 0.6×	117 0.8×	100 2.0×	31 0.7×	11	337
Christina M. Fennell	151 0.7×	110 0.7×	103 0.7×	74 1.5×	27 0.6×	7	286
Gioia Iezza	166 0.8×	146 0.9×	55 0.4×	34 0.7×	52 1.1×	9	318
Marta Román	164 0.8×	115 0.7×	125 0.9×	66 1.3×	22 0.5×	7	299
Minhua Zhou	210 1.0×	122 0.8×	111 0.8×	72 1.5×	54 1.1×	7	327
Hajrah Khawaja	146 0.7×	115 0.7×	57 0.4×	54 1.1×	41 0.9×	8	269
G. M. Hampton	249 1.2×	73 0.5×	75 0.5×	95 1.9×	53 1.1×	7	361
Natalia Ramírez-Merino	161 0.7×	234 1.5×	72 0.5×	59 1.2×	31 0.7×	7	359

Countries citing papers authored by Katalin Udud

Since Specialization

Citations

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

Fields of papers citing papers by Katalin Udud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Udud

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Udud. A scholar is included among the top collaborators of Katalin Udud 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 Katalin Udud. Katalin Udud 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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