Attila Pap

1.2k citations
21 papers · 915 · h-index 12

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Retinoids in leukemia and cellular processes 5
    • Peroxisome Proliferator-Activated Receptors 5
    • Immune Cell Function and Interaction 6
    • Immune cells in cancer 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 2

Attila Pap

20 papers receiving 907 citations

Peers

Attila Pap
Comparison fields: 5 of 82
  • Immunology 490
  • Rehabilitation 53
  • Molecular Biology 496
  • Physiology 150
  • Neurology 46
Replace James Wordsworth with:
James Wordsworth United Kingdom
Daniel P. Reay United States
Barbara Celona United States
Anthony B. Lagnado United States
Ada Weinstock United States
Yajun Feng United States
Ethan A. Sarnoski United States
Marta Varela-Eirín Spain
Robyn Laura Kosinsky Germany
Gaël Bories France
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Attila Pap

Since Specialization
Citations

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

Fields of papers citing papers by Attila Pap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010353
2 2006163
3 2016138
4 201061
5 201736
6 201324
7 201724
8 201923
9 201123
10 201616
11 201413
12 201712
13 20167
14 20185
15 20235
16 20174
17 20203
18 20192
19 20062
20 20141

About Attila Pap

Attila Pap is a scholar working on Molecular Biology, Immunology, Physiology, Epidemiology and Rehabilitation, having authored 21 papers that have together received 915 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Retinoids in leukemia and cellular processes (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (4 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (490 citations), Rehabilitation (53 citations), Molecular Biology (496 citations), Physiology (150 citations) and Neurology (46 citations). Attila Pap has collaborated with scholars based in Hungary, United States and United Kingdom. Frequent co-authors include László Nagy, Balázs Dezsö, Szilárd Póliska, Lajos Széles, Attila Szántó, István Szatmári, Endre Barta, Bálint L. Bálint, Melinda Oros and John W. R. Schwabe. Their work appears in journals such as Immunity, International Journal of Molecular Sciences, The Journal of Immunology, Cardiovascular Diabetology and The Journal of Cell Biology.

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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