Nicolas Schall
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Immunology 13
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
-
- Heat shock proteins research 2
- Co-authors
- Sylviane Muller (23 shared papers)Nicolas Pagé (6 shared papers)Jean‐Paul Briand (7 shared papers)Fengjuan Wang (5 shared papers)Marion Décossas (3 shared papers)Frédéric Gros (2 shared papers)Christophe Macri (2 shared papers)Baihui Li (2 shared papers)
- Journals
- Journal of Autoimmunity (4 papers)Cells (3 papers)Frontiers in Immunology (2 papers)Autophagy (2 papers)Annals of the Rheumatic Diseases (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Nicolas Schall
25 papers receiving 800 citations
Peers
Comparison fields: 5 of 78
- Physiology 87
- Immunology 284
- Rheumatology 166
- Epidemiology 280
- Pharmacology 46
Countries citing papers authored by Nicolas Schall
This map shows the geographic impact of Nicolas Schall'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 Nicolas Schall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Schall more than expected).
Fields of papers citing papers by Nicolas Schall
This network shows the impact of papers produced by Nicolas Schall. 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 Nicolas Schall. The network helps show where Nicolas Schall may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Schall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 105 | |
| 2 | 2008 | 101 | |
| 3 | 2015 | 85 | |
| 4 | 2014 | 68 | |
| 5 | 2007 | 61 | |
| 6 | 2009 | 54 | |
| 7 | 2012 | 52 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 33 | |
| 10 | 2018 | 32 | |
| 11 | 2018 | 26 | |
| 12 | 2018 | 23 | |
| 13 | 2011 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 19 | |
| 16 | 2021 | 16 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 7 |
About Nicolas Schall
Nicolas Schall is a scholar working on Immunology, Molecular Biology, Epidemiology, Cell Biology and Rheumatology, having authored 25 papers that have together received 811 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Autophagy in Disease and Therapy (6 papers), Immune Cell Function and Interaction (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Immunotherapy and Immune Responses (4 papers), Systemic Lupus Erythematosus Research (3 papers), Heat shock proteins research (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Physiology (87 citations), Immunology (284 citations), Rheumatology (166 citations), Epidemiology (280 citations) and Pharmacology (46 citations). Nicolas Schall has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Sylviane Muller, Nicolas Pagé, Jean‐Paul Briand, Fengjuan Wang, Marion Décossas, Frédéric Gros, Christophe Macri, Baihui Li, Olivier Chaloin and Dominique Bagnard. Their work appears in journals such as Journal of Autoimmunity, Cells, Frontiers in Immunology, Autophagy and Annals of the Rheumatic Diseases.
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.