Daniel Humphreys

1.3k citations
21 papers · 1.0k · h-index 15

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cellular transport and secretion 6
    • Cellular Mechanics and Interactions 4

Daniel Humphreys

20 papers receiving 1.0k citations

Peers

Daniel Humphreys
Comparison fields: 5 of 80
  • Endocrinology 309
  • Molecular Medicine 109
  • Cell Biology 252
  • Food Science 249
  • Infectious Diseases 119
Replace Peter Hume with:
Peter Hume United Kingdom
Virginie Braun Canada
Damián Lobato‐Márquez United Kingdom
Andrea R. McWhorter Australia
K Komatsu Japan
Takeshi Matsuzawa Japan
Abdul Salam Khan Germany
Matthias P. Machner United States
Sebastian Hannemann Germany
K Johnson United States
Daniel Humphreys relative to Peter Hume United Kingdom Peter Hume's profile →
Citations per field
00.5×3.5×
Peter Hume · 1×
Citations per year

Countries citing papers authored by Daniel Humphreys

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Humphreys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009256
2 2002125
3 2011109
4 201276
5 201367
6 200964
7 201052
8 201949
9 201731
10 201529
11 202028
12 201724
13 201622
14 201220
15 200817
16 201412
17 200411
18 200810
19 20237
20 20251

About Daniel Humphreys

Daniel Humphreys is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Genetics and Immunology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Cellular Mechanics and Interactions (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Vibrio bacteria research studies (3 papers), Escherichia coli research studies (3 papers), Bacterial Genetics and Biotechnology (3 papers), RNA Interference and Gene Delivery (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Endocrinology (309 citations), Molecular Medicine (109 citations), Cell Biology (252 citations), Food Science (249 citations) and Infectious Diseases (119 citations). Daniel Humphreys has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Vassilis Koronakis, Peter Hume, Emma J. McGhie, Anthony C. Davidson, Tao Liu, Christian Andersen, Colin Hughes, Eva Koronakis, Jeyanthy Eswaran and Evert Bokma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Host & Microbe, Cell Reports, Nature Communications and Cellular Microbiology.

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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