Mathieu Jablonski

1.6k citations
20 papers · 1.3k · h-index 13

Impact in

  • Immunology top 5%
    • Complement system in diseases
    • Mast cells and histamine
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Dialysis and Renal Disease Management

Papers in

Mathieu Jablonski

19 papers receiving 1.3k citations

Peers

Mathieu Jablonski
Comparison fields: 5 of 52
  • Immunology 706
  • Nephrology 187
  • Transplantation 41
  • Rheumatology 131
  • Infectious Diseases 96
Replace Sara Gamba with:
Sara Gamba Italy
S Kasakura Japan
Jessica Caprioli Italy
Nicholas Medjeral‐Thomas United Kingdom
Sjoerd A.M.E.G. Timmermans Netherlands
Mari R. Thomas United Kingdom
R.J.M. ten Berge Netherlands
E.C.Y. Lian United States
J.A. Schifferli Switzerland
Simon Ville France
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Citations per field
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Citations per year

Countries citing papers authored by Mathieu Jablonski

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Jablonski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2013221
2 2009164
3 2009135
4 2014112
5 2020112
6 200898
7 201493
8 201590
9 201480
10 201865
11 200947
12 200614
13 200513
14 200713
15 201512
16 200710
17 20079
18 20073
19 20062
20 20160

About Mathieu Jablonski

Mathieu Jablonski is a scholar working on Nephrology, Immunology, Rheumatology, Hematology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Complement system in diseases (5 papers), Systemic Lupus Erythematosus Research (3 papers), Streptococcal Infections and Treatments (2 papers), Multiple Myeloma Research and Treatments (2 papers), Polyomavirus and related diseases (1 paper), Central Venous Catheters and Hemodialysis (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Immunology (706 citations), Nephrology (187 citations), Transplantation (41 citations), Rheumatology (131 citations) and Infectious Diseases (96 citations). Mathieu Jablonski has collaborated with scholars based in France, United States and Bulgaria. Frequent co-authors include Véronique Frémeaux‐Bacchi, Chantal Loirat, Jacques Blouin, Catherine Sautès‐Fridman, Catherine H. Régnier, Marie‐Agnès Dragon‐Durey, Fádi Fakhouri, Éric Daugas, Arnaud Lionet and Michel Delahousse. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, Blood, Nature Communications 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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