Daniel Ricklin
- Immunology top 0.1%
- Complement system in diseases 96
- Nephrology top 0.2%
- Renal Diseases and Glomerulopathies 25
- Hematology top 0.2%
- Platelet Disorders and Treatments 21
- Blood groups and transfusion 16
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 14
- Transplantation top 1%
-
- Monoclonal and Polyclonal Antibodies Research 23
-
- Biochemical and Structural Characterization 13
-
- Antimicrobial Resistance in Staphylococcus 12
- Co-authors
- John D. LambrisGeorge HajishengallisKun YangEdimara S. ReisDimitrios C. MastellosBrian V. GeisbrechtPiet GrosChristoph Q. Schmidt
- Cited by
- ImmunologyNephrologyHematology
- Journals
- The Journal of Immunology (18 papers)Immunobiology (17 papers)Molecular Immunology (9 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel Ricklin
137 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Immunology 7.9k
- Nephrology 1.8k
- Hematology 2.3k
- Physiology 545
- Transplantation 267
Countries citing papers authored by Daniel Ricklin
This map shows the geographic impact of Daniel Ricklin'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 Daniel Ricklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ricklin more than expected).
Fields of papers citing papers by Daniel Ricklin
This network shows the impact of papers produced by Daniel Ricklin. 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 Daniel Ricklin. The network helps show where Daniel Ricklin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ricklin, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 18 | |
| 7 | 2021 | 39 | |
| 8 | 2021 | 7 | |
| 9 | 2019 | 17 | |
| 10 | 2017 | 84 | |
| 11 | 2017 | 350 | |
| 12 | 2016 | 88 | |
| 13 | 2015 | 170 | |
| 14 | 2015 | 15 | |
| 15 | 2012 | 38 | |
| 16 | 2012 | 15 | |
| 17 | 2012 | 46 | |
| 18 | 2011 | 1 | |
| 19 | 2009 | 41 | |
| 20 | Complement evasion by human pathogensbreakdown → | 2008 | 573 |
About Daniel Ricklin
Daniel Ricklin is a scholar working on Immunology, Nephrology and Hematology, having authored 143 papers that have together received 12.1k indexed citations. Recurring topics across this work include Complement system in diseases (96 papers), Renal Diseases and Glomerulopathies (25 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Platelet Disorders and Treatments (21 papers), Blood groups and transfusion (16 papers), Adenosine and Purinergic Signaling (14 papers), Biochemical and Structural Characterization (13 papers) and Antimicrobial Resistance in Staphylococcus (12 papers). The work is most often cited by research in Immunology (7.9k citations), Nephrology (1.8k citations) and Hematology (2.3k citations). Daniel Ricklin has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include John D. Lambris, George Hajishengallis, Kun Yang, Edimara S. Reis, Dimitrios C. Mastellos, Brian V. Geisbrecht, Piet Gros, Christoph Q. Schmidt, Jin Wu and Αποστολία Τζέκου. Their work appears in journals such as The Journal of Immunology, Immunobiology, Molecular Immunology, Advances in experimental medicine and biology and Frontiers in Immunology.
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.