Benjamin Wakeland
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Complement system in diseases
- interferon and immune responses
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
Papers in
-
- interferon and immune responses 1
-
- Systemic Lupus Erythematosus Research 2
- Co-authors
- Chandrashekhar Pasare (1 shared paper)Bo Zhang (1 shared paper)Edward K. Wakeland (3 shared papers)Ran Song (1 shared paper)Igor M. Dozmorov (1 shared paper)Venkat S. Malladi (1 shared paper)Sreeja Parameswaran (1 shared paper)Carlos Arana (1 shared paper)
- Journals
- Infection Genetics and Evolution (1 paper)Journal of the American Society of Nephrology (1 paper)Communications Biology (1 paper)Cell Reports (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Benjamin Wakeland
8 papers receiving 523 citations
Peers
Comparison fields: 5 of 51
- Immunology 317
- Rheumatology 175
- Nephrology 83
- Hematology 41
- Genetics 29
Countries citing papers authored by Benjamin Wakeland
This map shows the geographic impact of Benjamin Wakeland'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 Benjamin Wakeland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Wakeland more than expected).
Fields of papers citing papers by Benjamin Wakeland
This network shows the impact of papers produced by Benjamin Wakeland. 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 Benjamin Wakeland. The network helps show where Benjamin Wakeland may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Wakeland, 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 | 2012 | 159 | |
| 2 | 2012 | 122 | |
| 3 | 2016 | 107 | |
| 4 | 2012 | 70 | |
| 5 | 2021 | 58 | |
| 6 | 2020 | 10 | |
| 7 | 2016 | 7 | |
| 8 | 2018 | 1 | |
| 9 | Quality Control of Optical Transmitters for the ATLAS Liquid Argon Calorimeter | 2005 | 1 |
| 10 | 2024 | 1 |
About Benjamin Wakeland
Benjamin Wakeland is a scholar working on Immunology, Rheumatology, Nephrology, Genetics and Genetics, having authored 10 papers that have together received 536 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (2 papers), Particle Detector Development and Performance (1 paper), Distributed and Parallel Computing Systems (1 paper), interferon and immune responses (1 paper), Kruppel-like factors research (1 paper), Insect symbiosis and bacterial influences (1 paper), Genetic Syndromes and Imprinting (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Immunology (317 citations), Rheumatology (175 citations), Nephrology (83 citations), Hematology (41 citations) and Genetics (29 citations). Benjamin Wakeland has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Chandrashekhar Pasare, Bo Zhang, Edward K. Wakeland, Ran Song, Igor M. Dozmorov, Venkat S. Malladi, Sreeja Parameswaran, Carlos Arana, Matthew T. Weirauch and Leah Claire Kottyan. Their work appears in journals such as Infection Genetics and Evolution, Journal of the American Society of Nephrology, Communications Biology, Cell Reports and The American Journal of Human Genetics.
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.