Daniel Snell

676 citations
14 papers · 516 · h-index 9

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Cell Adhesion Molecules Research

Papers in

Daniel Snell

14 papers receiving 508 citations

Peers

Daniel Snell
Comparison fields: 5 of 64
  • Hematology 291
  • Immunology and Allergy 81
  • Cell Biology 109
  • Internal Medicine 18
  • Cardiology and Cardiovascular Medicine 93
Replace Guo Ding with:
Guo Ding Japan
D. Alice United States
Véronique Dubernard France
Sabine Gesierich Germany
Christelle Perrault France
Marsha Crochiere United States
Hashmat Sikder United States
Teresa Larson United Kingdom
Órla T. Cox Ireland
Srimathi Srinivasan United States
Daniel Snell relative to Guo Ding Japan Guo Ding's profile →
Citations per field
00.5×2.5×
Guo Ding · 1×
Citations per year

Countries citing papers authored by Daniel Snell

Since Specialization
Citations

This map shows the geographic impact of Daniel Snell'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 Snell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Snell more than expected).

Fields of papers citing papers by Daniel Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Snell. 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 Snell. The network helps show where Daniel Snell may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Snell, 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 Snell Line = papers co-authored together Daniel Snell links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2001110
2 2003102
3 200262
4 201358
5 200246
6 200241
7 200134
8 200124
9 200324
10 20156
11 20143
12 20223
13
Plagues and Peoples in Mesopotamia
19822
14 19981

About Daniel Snell

Daniel Snell is a scholar working on Hematology, Molecular Biology, Immunology and Allergy, Genetics and Cancer Research, having authored 14 papers that have together received 516 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (291 citations), Immunology and Allergy (81 citations), Cell Biology (109 citations), Internal Medicine (18 citations) and Cardiology and Cardiovascular Medicine (93 citations). Daniel Snell has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Steve P. Watson, Gavin E. Jarvis, Ben Atkinson, Oscar Berlanga, Denise Best, Jonathan I. Wilde, David Tulasne, Valerie Schulte, Naoki Asazuma and Bernhard Nieswandt. Their work appears in journals such as Biochemical Journal, Annals of Hematology, Journal of Thrombosis and Haemostasis, Journal of Biblical Literature and Bone Marrow Transplantation.

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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