Daniel Munro

1.3k citations
19 papers · 883 · h-index 14

Impact in

Papers in

    • Gut microbiota and health 2
    • Receptor Mechanisms and Signaling 2
    • Genomics and Phylogenetic Studies 2

Daniel Munro

17 papers receiving 869 citations

Peers

Daniel Munro
Comparison fields: 5 of 111
  • Periodontics 80
  • Parasitology 108
  • Ecology, Evolution, Behavior and Systematics 245
  • Agronomy and Crop Science 116
  • Animal Science and Zoology 86
Replace Noború Fujihara with:
Noború Fujihara Japan
Mingwang Zhang China
Qingyong Ni China
Taichi A. Suzuki United States
Maria Madalena Pessoa Guerra Brazil
Krzysztof Rakus Poland
D.M. West New Zealand
Michael T. Longnecker United States
Gabriela Aguileta France
Myrthe Otsen Netherlands
Daniel Munro relative to Noború Fujihara Japan Noború Fujihara's profile →
Citations per field
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Noború Fujihara · 1×
Citations per year

Countries citing papers authored by Daniel Munro

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013164
2 2013103
3 2012101
4 200889
5 200484
6 200582
7 202150
8 200844
9 201834
10 201533
11 202033
12 202316
13 201416
14 201214
15 202212
16 20237
17 20201
18 20240
19 20250

About Daniel Munro

Daniel Munro is a scholar working on Molecular Biology, Genetics, Ecology, Ecology, Evolution, Behavior and Systematics and Physiology, having authored 19 papers that have together received 883 indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (3 papers), Physiological and biochemical adaptations (3 papers), Cancer Genomics and Diagnostics (2 papers), Gut microbiota and health (2 papers), Receptor Mechanisms and Signaling (2 papers), Vector-borne infectious diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Periodontics (80 citations), Parasitology (108 citations), Ecology, Evolution, Behavior and Systematics (245 citations), Agronomy and Crop Science (116 citations) and Animal Science and Zoology (86 citations). Daniel Munro has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Donald W. Thomas, Qunfeng Dong, Ruichen Rong, M. M. Humphries, D. W. Thomas, Mona Singh, Murray M. Humphries, Gregory J. Phillips, Chong Wang and Paul J. Plummer. Their work appears in journals such as PLoS ONE, Nature Communications, The ISME Journal, Frontiers in Genetics and Bioinformatics.

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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