L Pazmany

710 citations
11 papers · 617 · h-index 8

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Reproductive System and Pregnancy
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • Reproductive System and Pregnancy 2
    • Galectins and Cancer Biology 1

L Pazmany

11 papers receiving 602 citations

Peers

L Pazmany
Comparison fields: 5 of 74
  • Immunology 448
  • Hematology 99
  • Genetics 82
  • Virology 16
  • Transplantation 7
Replace A Beauplet with:
A Beauplet France
Silvia Verdiani Italy
J M Houlihan United Kingdom
Monica E. Gianolini Italy
M. M. Tongio France
Arnold van der Meer Netherlands
Kenji Tadokoro Japan
Valentina Pacciani Italy
L. Morosato Italy
Coralie Frassati France
L Pazmany relative to A Beauplet France A Beauplet's profile →
Citations per field
00.5×
A Beauplet · 1×
Citations per year

Countries citing papers authored by L Pazmany

Since Specialization
Citations

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

Fields of papers citing papers by L Pazmany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1996299
2 199283
3 199771
4 199255
5 200942
6 199132
7 200714
8 199512
9 19997
10 20051
11 20061

About L Pazmany

L Pazmany is a scholar working on Immunology, Surgery, Oncology, Molecular Biology and Otorhinolaryngology, having authored 11 papers that have together received 617 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Reproductive System and Pregnancy (2 papers), Galectins and Cancer Biology (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Dysphagia Assessment and Management (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Immunology (448 citations), Hematology (99 citations), Genetics (82 citations), Virology (16 citations) and Transplantation (7 citations). L Pazmany has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Mar Valés‐Gómez, Hugh T. Reyburn, Ofer Mandelboim, J L Strominger, Marco Colonna, Giovanna Borsellino, SL Thein, Maurizio Sampietro, L. Rees and Martin Birchall. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Pathology, Human Immunology, Mucosal Immunology and Immunogenetics.

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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