Daniel Schlam

814 citations
11 papers · 644 · 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
    • Immune Response and Inflammation

Papers in

    • Cellular transport and secretion 5
    • Phagocytosis and Immune Regulation 3
    • Complement system in diseases 2
    • Immunotherapy and Immune Responses 1

Daniel Schlam

11 papers receiving 640 citations

Peers

Daniel Schlam
Comparison fields: 5 of 81
  • Cell Biology 201
  • Immunology 228
  • Physiology 41
  • Immunology and Allergy 45
  • Physiology 116
Replace Michèle Roa with:
Michèle Roa France
Roni Levin Canada
Isabelle Jutras Canada
Ann Grogan United Kingdom
Norihiro Nakamura Japan
Julia Dancourt France
Rebecca W. Beerman United States
Kaz Nagaosa Japan
D J Fishkind United States
Daniel Schlam relative to Michèle Roa France Michèle Roa's profile →
Citations per field
00.5×8.4×
Michèle Roa · 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 2015161
2 2016118
3 2014117
4 201394
5 201652
6 201336
7 201622
8 201320
9 201612
10 202011
11 20181

About Daniel Schlam

Daniel Schlam is a scholar working on Cell Biology, Immunology, Molecular Biology, Immunology and Allergy and Surgery, having authored 11 papers that have together received 644 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), Immunotherapy and Immune Responses (1 paper), Fungal and yeast genetics research (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Cell Biology (201 citations), Immunology (228 citations), Physiology (41 citations), Immunology and Allergy (45 citations) and Physiology (116 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, Tony Pawson, Richard F. Collins, Michael Glogauer and Michael Gütschow. Their work appears in journals such as Nature Communications, Journal of Thrombosis and Haemostasis, Cell Reports, mBio 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.

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