Daniel A. Holdbrook

28 papers receiving 749 citations

Peers

Daniel A. Holdbrook
Comparison fields: 5 of 98
  • Microbiology 124
  • Molecular Medicine 89
  • Endocrinology 41
  • Molecular Biology 487
  • Genetics 188
Replace Jan K. Marzinek with:
Jan K. Marzinek Singapore
Ivan Campeotto United Kingdom
Martín Alcorlo Spain
Simon Allen United States
Lotta Happonen Sweden
Jennifer C. Wilson Australia
Neta Sal‐Man Israel
Lauren E. Hartley‐Tassell Australia
Katharina Büttner Germany
Jason J. Paxman Australia
Daniel A. Holdbrook relative to Jan K. Marzinek Singapore Jan K. Marzinek's profile →
Citations per field
00.5×2.8×
Jan K. Marzinek · 1×
Citations per year

Countries citing papers authored by Daniel A. Holdbrook

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Holdbrook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011200
2 201261
3 201856
4 201851
5 201641
6 201635
7 201831
8 201729
9 201827
10 201223
11 201623
12 201622
13 201521
14 201920
15 201419
16 201018
17 201916
18 201815
19 201712
20 20159

About Daniel A. Holdbrook

Daniel A. Holdbrook is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Immunology and Ecology, having authored 28 papers that have together received 755 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (8 papers), Protein Structure and Dynamics (8 papers), Bacterial Genetics and Biotechnology (6 papers), Mosquito-borne diseases and control (6 papers), Bacteriophages and microbial interactions (5 papers), Immune Response and Inflammation (5 papers), Antimicrobial Peptides and Activities (5 papers) and Escherichia coli research studies (3 papers). The work is most often cited by research in Microbiology (124 citations), Molecular Medicine (89 citations), Endocrinology (41 citations), Molecular Biology (487 citations) and Genetics (188 citations). Daniel A. Holdbrook has collaborated with scholars based in Singapore, United Kingdom and Sweden. Frequent co-authors include Syma Khalid, Thomas J. Piggot, Peter J. Bond, Jan K. Marzinek, Roland G. Huber, Artur Schmidtchen, Nils Berglund, Jitka Petrlová, Chandra Verma and Martin Malmsten. Their work appears in journals such as Biophysical Journal, Structure, Biochimica et Biophysica Acta (BBA) - Biomembranes, Biochemical Society Transactions and Journal of Colloid and Interface 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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