Daniel Schlam
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Immunology top 10%
- Phagocytosis and Immune Regulation
- Immune Response and Inflammation
Papers in
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- Cellular transport and secretion 5
-
- Phagocytosis and Immune Regulation 1
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Co-authors
- Sergio Grinstein (10 shared papers)Gregory D. Fairn (5 shared papers)Roni Levin‐Konigsberg (1 shared paper)Spencer A. Freeman (4 shared papers)Johnathan Canton (3 shared papers)Richard F. Collins (1 shared paper)Richard D. Bagshaw (1 shared paper)Tony J. Pawson (1 shared paper)
- Journals
- Nature Communications (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)Molecular Biology of the Cell (1 paper)Journal of Thrombosis and Haemostasis (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Daniel Schlam
10 papers receiving 652 citations
Peers
Comparison fields: 5 of 60
- Cell Biology 218
- Immunology 198
- Biochemistry 27
- Infectious Diseases 58
- Biophysics 20
Countries citing papers authored by Daniel Schlam
This map shows the geographic impact of Daniel Schlam'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 Schlam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schlam more than expected).
Fields of papers citing papers by Daniel Schlam
This network shows the impact of papers produced by Daniel Schlam. 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 Schlam. The network helps show where Daniel Schlam may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schlam, 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 | 2015 | 174 | |
| 2 | 2016 | 122 | |
| 3 | 2014 | 118 | |
| 4 | 2013 | 95 | |
| 5 | 2016 | 54 | |
| 6 | 2013 | 36 | |
| 7 | 2016 | 25 | |
| 8 | 2013 | 18 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 1 |
About Daniel Schlam
Daniel Schlam is a scholar working on Cell Biology, Immunology, Physiology, Molecular Biology and Infectious Diseases, having authored 10 papers that have together received 657 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Antifungal resistance and susceptibility (1 paper), Phagocytosis and Immune Regulation (1 paper), Fungal and yeast genetics research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Mycotoxins in Agriculture and Food (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Cell Biology (218 citations), Immunology (198 citations), Biochemistry (27 citations), Infectious Diseases (58 citations) and Biophysics (20 citations). Daniel Schlam has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Sergio Grinstein, Gregory D. Fairn, Roni Levin‐Konigsberg, Spencer A. Freeman, Johnathan Canton, Richard F. Collins, Richard D. Bagshaw, Tony J. Pawson, Michael Glogauer and Michael Gütschow. Their work appears in journals such as Nature Communications, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Molecular Biology of the Cell, Journal of Thrombosis and Haemostasis and Journal of Cell Science.
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.