Mathieu Jablonski
- Nephrology top 1%
- Renal Diseases and Glomerulopathies 4
- Transplantation top 5%
- Immunology top 5%
- Complement system in diseases 4
- T-cell and B-cell Immunology 2
- Hematology top 5%
- Physiology top 5%
- Adenosine and Purinergic Signaling 2
-
- Hemoglobinopathies and Related Disorders 2
-
- Monoclonal and Polyclonal Antibodies Research 2
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 2
-
- Pregnancy and preeclampsia studies 1
- Co-authors
- Véronique Frémeaux‐BacchiChantal LoiratJacques BlouinMarie‐Agnès Dragon‐DureyFádi FakhouriÉric DaugasCatherine H. RégnierCatherine Sautès‐Fridman
- Cited by
- NephrologyTransplantationImmunology
- Journals
- Kidney International (2 papers)Nephrology Dialysis Transplantation (2 papers)Blood (2 papers)
- Partner nations
- FranceUnited StatesGreece
In The Last Decade
Mathieu Jablonski
15 papers receiving 969 citations
Peers
Comparison fields: 5 of 52
- Nephrology 476
- Transplantation 109
- Immunology 726
- Hematology 258
- Physiology 90
Countries citing papers authored by Mathieu Jablonski
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 0 | |
| 2 | 2015 | 87 | |
| 3 | 2014 | 73 | |
| 4 | 2014 | 80 | |
| 5 | 2014 | 102 | |
| 6 | 2013 | 193 | |
| 7 | 2009 | 43 | |
| 8 | 2009 | 140 | |
| 9 | 2009 | 123 | |
| 10 | 2008 | 92 | |
| 11 | 2007 | 12 | |
| 12 | 2007 | 10 | |
| 13 | 2006 | 2 | |
| 14 | 2006 | 11 | |
| 15 | 2005 | 11 | |
| 16 | 1987 | 11 |
About Mathieu Jablonski
Mathieu Jablonski is a scholar working on Nephrology, Physiology, Transplantation, Hematology and Immunology, having authored 16 papers that have together received 990 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Complement system in diseases (4 papers), Adenosine and Purinergic Signaling (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), T-cell and B-cell Immunology (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Nephrology (476 citations), Transplantation (109 citations), Immunology (726 citations), Hematology (258 citations) and Physiology (90 citations). Mathieu Jablonski has collaborated with scholars based in France, United States and Greece. Frequent co-authors include Véronique Frémeaux‐Bacchi, Chantal Loirat, Jacques Blouin, Marie‐Agnès Dragon‐Durey, Fádi Fakhouri, Éric Daugas, Catherine H. Régnier, Catherine Sautès‐Fridman, Christiane Mousson and Arnaud Lionet. Their work appears in journals such as Kidney International, Nephrology Dialysis Transplantation, Blood, Journal of Thoracic and Cardiovascular Surgery and British Journal of Haematology.
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.