Jean‐Pierre Szikora

3.7k citations
22 papers · 3.1k indexed · 2 hit papers · h-index 16

Jean‐Pierre Szikora

22 papers receiving 3.1k citations

Hit Papers

A new gene coding for a differentiation antigen recognize...7671994202620042015250500750

Peers

Jean‐Pierre Szikora
Comparison fields: 5 of 100
  • Immunology 2.2k
  • Oncology 879
  • Molecular Biology 1.6k
  • Radiology, Nuclear Medicine and Imaging 272
  • Genetics 273
Replace Hans Christian Probst with:
Hans Christian Probst Germany
Frédéric Lévy Switzerland
Qui Phung United States
Joëlle Wiels France
Asra Mirza United States
Philip G. Ashton‐Rickardt United States
Michel A. Horisberger Switzerland
Oxana A. Malakhova United States
Michael A. Norcross United States
Hiroshi Arakawa Japan
Jean‐Pierre Szikora relative to Hans Christian Probst Germany Hans Christian Probst's profile →
Citations per field
00.5×1.5×2.2×
Hans Christian Probst · 1×
Citations per year

Countries citing papers authored by Jean‐Pierre Szikora

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Pierre Szikora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Pierre Szikora. 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 Jean‐Pierre Szikora. The network helps show where Jean‐Pierre Szikora may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200769
2 200782
3 2006125
4 2003174
5 199733
6 1996144
7 199562
8 199584
9
Structure, chromosomal localization, and expression of 12 genes of the MAGE familybreakdown →
1994513
10
A new gene coding for a differentiation antigen recognized by autologous cytolytic T lymphocytes on HLA-A2 melanomas.breakdown →
1994767
11 199412
12 1994197
13 199314
14 199214
15 199063
16 19894
17 198936
18 1989243
19 1988251
20 1988231

About Jean‐Pierre Szikora

Jean‐Pierre Szikora is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 22 papers that have together received 3.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Glycosylation and Glycoproteins Research (6 papers), T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), RNA Interference and Gene Delivery (4 papers), Immune Cell Function and Interaction (4 papers), Bacteriophages and microbial interactions (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Immunology (2.2k citations), Oncology (879 citations) and Molecular Biology (1.6k citations). Jean‐Pierre Szikora has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Thierry Boon, Christophe Lurquin, Etienne De Plaen, Aline Van Pel, Jean‐Christophe Renauld, Fred R. Opperdoes, Catia Traversari, Thomas Wölfel, Vincent Brichard and Patrick Chomez. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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