Pál Pánczél

868 citations
26 papers · 578 · h-index 12

Impact in

Papers in

Pál Pánczél

25 papers receiving 550 citations

Peers

Pál Pánczél
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 220
  • Genetics 335
  • Surgery 216
  • Immunology 69
  • Cancer Research 22
Replace Theresa A. Aly with:
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Takeki Hirano Japan
Antti‐Pekka Laine Finland
Roja Motaghedi United States
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Ashish Marwaha Canada
Yoshikuni Sawai Japan
K. H. Usadel Germany
Guanping Dong China
Štěpánka Průhová Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Pál Pánczél

Since Specialization
Citations

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

Fields of papers citing papers by Pál Pánczél

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pál Pánczél, 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 Pál Pánczél Line = papers co-authored together Pál Pánczél links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003116
2 200675
3 201156
4 199947
5 200944
6 200237
7 200235
8 201033
9 200627
10 200820
11 200017
12 200512
13 20079
14 20099
15 20087
16
[Latent autoimmune diabetes in adults(LADA): part of the clinical spectrum of type-1 diabetes mellitus of autoimmune origin].
20017
17
[Detection of antibodies against pancreatic islet cells in clinical practice].
19995
18 20214
19 20214
20
[Association between cumulative familial incidence of type I diabetes and rheumatoid arthritis].
19854

About Pál Pánczél

Pál Pánczél is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Immunology, having authored 26 papers that have together received 578 indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Diabetes Management and Research (5 papers), Pancreatic function and diabetes (5 papers), Diet, Metabolism, and Disease (4 papers), Immune Cell Function and Interaction (3 papers), Diabetes Treatment and Management (2 papers), Contact Dermatitis and Allergies (1 paper) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (220 citations), Genetics (335 citations), Surgery (216 citations), Immunology (69 citations) and Cancer Research (22 citations). Pál Pánczél has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Nóra Hosszúfalusi, L Madácsy, Zoltán Prohászka, George Füst, Katalin Rajczy, Éva Pozsonyi, Ágnes Vatay, István Karádi, Csaba Szalai and Elek Dinya. Their work appears in journals such as Immunology Letters, Diabetes/Metabolism Research and Reviews, Pediatric Research, The Journal of Clinical Endocrinology & Metabolism and Inflammation Research.

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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