Daniel Cook

2.0k citations
33 papers · 1.5k · h-index 14

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Microbial Metabolic Engineering and Bioproduction 3
    • Bioinformatics and Genomic Networks 3
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3

Daniel Cook

28 papers receiving 1.4k citations

Peers

Daniel Cook
Comparison fields: 5 of 126
  • Transplantation 174
  • Cardiology and Cardiovascular Medicine 443
  • Behavioral Neuroscience 35
  • Biophysics 49
  • Endocrine and Autonomic Systems 49
Replace Hiroki Kishikawa with:
Hiroki Kishikawa Japan
Michael A. Rowland Australia
Takashi Yoneda Japan
Keshava Rajagopal United States
Kathleen Schmidt United States
Pierre Fiset Canada
Yoram Wollman Israel
Jørn Carlsen Denmark
Christopher Büsch Germany
Benjamin F. Cox United Kingdom
Daniel Cook relative to Hiroki Kishikawa Japan Hiroki Kishikawa's profile →
Citations per field
00.5×
Hiroki Kishikawa · 1×
Citations per year

Countries citing papers authored by Daniel Cook

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983361
2 2004245
3 2020240
4 1982205
5 201050
6 198250
7 201241
8 199839
9 202238
10 201735
11 198222
12 201421
13 201520
14 201517
15 198413
16
Quantitative flow cytometry cross-matching for precise measurement of donor-specific alloreactivity.
199413
17 200111
18 20208
19 20045
20 20094

About Daniel Cook

Daniel Cook is a scholar working on Molecular Biology, Immunology, Cancer Research, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Single-cell and spatial transcriptomics (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Transplantation (174 citations), Cardiology and Cardiovascular Medicine (443 citations), Behavioral Neuroscience (35 citations), Biophysics (49 citations) and Endocrine and Autonomic Systems (49 citations). Daniel Cook has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Jeffrey B. Halter, Michael Pfeifer, Clarice R. Weinberg, James D. Best, Jens Nielsen, David A. Tice, Roman Pfeifer, Joel Brodsky, Daniel Porte and Jonathan L. Robinson. Their work appears in journals such as Human Immunology, Rangelands, Hormone and Metabolic Research, Diabetes and Industrial & Engineering Chemistry Research.

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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