Daniel Schlam

805 citations
11 papers · 614 indexed · h-index 10

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Cellular Mechanics and Interactions
  • Immunology top 10%
    • Phagocytosis and Immune Regulation
    • Immune cells in cancer

Papers in

Daniel Schlam

11 papers receiving 609 citations

Peers

Daniel Schlam
Comparison fields: 5 of 82
  • Cell Biology 194
  • Immunology 227
  • Physiology 39
  • Immunology and Allergy 47
  • Neurology 39
Replace Matthias Corrotte with:
Matthias Corrotte United States
Roni Levin Canada
Youhei Egami Japan
Michèle Roa France
Ann Grogan United Kingdom
Yingyu Mao China
Norihiro Nakamura Japan
Rebecca W. Beerman United States
E.D. Kuhlmann Netherlands
Daniel Schlam relative to Matthias Corrotte United States Matthias Corrotte's profile →
Citations per field
00.5×1.5×
Matthias Corrotte · 1×
Citations per year

Countries citing papers authored by Daniel Schlam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Daniel Schlam Line = papers co-authored together Daniel Schlam links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015154
2 2016114
3 2014114
4 201386
5 201650
6 201333
7 201622
8 201318
9 202011
10 201611
11 20181

About Daniel Schlam

Daniel Schlam is a scholar working on Immunology and Allergy, Cell Biology, Immunology, Nephrology and Neurology, having authored 11 papers that have together received 614 indexed citations. Recurring topics across this work include Cellular transport and secretion (5 papers), Cell Adhesion Molecules Research (4 papers), Phagocytosis and Immune Regulation (3 papers), Complement system in diseases (2 papers), Pancreatic function and diabetes (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Renal Diseases and Glomerulopathies (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cell Biology (194 citations), Immunology (227 citations), Physiology (39 citations), Immunology and Allergy (47 citations) and Neurology (39 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, Johnathan Canton, Spencer A. Freeman, Richard D. Bagshaw, Richard F. Collins, Tony Pawson, Michael Glogauer and Michael Gütschow. Their work appears in journals such as Nature Communications, Molecular Biology of the Cell, Small GTPases, mBio and Journal of Biological Chemistry.

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.

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