Daniel McSkimming

2.1k citations
31 papers · 1.5k · 1 hit paper · h-index 17

Impact in

Papers in

    • Gut microbiota and health 5
    • Biomedical Text Mining and Ontologies 4
    • Bioinformatics and Genomic Networks 3
    • Oral microbiology and periodontitis research 11
    • Dental Health and Care Utilization 3

Daniel McSkimming

30 papers receiving 1.5k citations

Daniel McSkimming's Hit Papers

Gut Microbiota and Immune System Interactions 2020 · 696 citations
6960+2+4Years since publication200400600

Peers

Daniel McSkimming
Comparison fields: 5 of 113
  • Periodontics 132
  • Biological Psychiatry 55
  • Molecular Biology 916
  • Gastroenterology 58
  • Cancer Research 140
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Eliana Mariño Australia
Edda Russo Italy
Cecilia Engdahl Sweden
Romana R. Gerner Austria
Francesca Rappa Italy
Youlian Zhou China
Cheng Kong China
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Daniel McSkimming

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McSkimming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gut Microbiota and Immune System Interactions
Hit paper breakdown →
2020696
2 2017307
3 201950
4 201843
5 202042
6 201440
7 201636
8 202133
9 201731
10 202229
11 201528
12 201927
13 201824
14 201924
15 201818
16 201817
17 201716
18 202112
19 201812
20 20219

About Daniel McSkimming

Daniel McSkimming is a scholar working on Molecular Biology, Periodontics, Physiology, Nephrology and Hematology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (11 papers), Gut microbiota and health (5 papers), Biomedical Text Mining and Ontologies (4 papers), Diet and metabolism studies (4 papers), Acute Myeloid Leukemia Research (3 papers), Salivary Gland Disorders and Functions (3 papers), Bioinformatics and Genomic Networks (3 papers) and Dental Health and Care Utilization (3 papers). The work is most often cited by research in Periodontics (132 citations), Biological Psychiatry (55 citations), Molecular Biology (916 citations), Gastroenterology (58 citations) and Cancer Research (140 citations). Daniel McSkimming has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Maureen Groër, Samia Valéria Ozorio Dutra, Ji Youn Yoo, Anujit Sarkar, Natarajan Kannan, Takahiro Ito, Ayuna Hattori, Arinobu Tojo, Fariba Tayyari and Tamás Nagy. Their work appears in journals such as Journal of Clinical Oncology, Journal of Periodontology, Journal of Nutrition, Scientific Reports and Experimental Biology and Medicine.

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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