Ryan Parr

1.8k citations
35 papers · 1.4k · h-index 19

Impact in

Papers in

    • Mitochondrial Function and Pathology 12
    • Molecular Biology Techniques and Applications 8
    • Metabolomics and Mass Spectrometry Studies 5
    • RNA and protein synthesis mechanisms 5
    • Forensic and Genetic Research 8

Ryan Parr

35 papers receiving 1.4k citations

Peers

Ryan Parr
Comparison fields: 5 of 111
  • Cancer Research 217
  • Genetics 373
  • Molecular Biology 880
  • Archeology 121
  • Ecology 307
Replace Chang Sun with:
Chang Sun China
Irena Drmić Hofman Croatia
Paul G. Debenham United Kingdom
Rosemary Ekong United Kingdom
Sandra Hering Germany
Danai Tiwawech Thailand
Rosa Jersie-Christensen Denmark
De-Qi Xu China
Bidyut Roy India
Bruno Cavadas Portugal
Ryan Parr relative to Chang Sun China Chang Sun's profile →
Citations per field
00.5×8.5×
Chang Sun · 1×
Citations per year

Countries citing papers authored by Ryan Parr

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Parr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007220
2 1991134
3 1991116
4 2006112
5 200680
6 199678
7 200258
8 198757
9 201354
10 200651
11 198951
12 200050
13 201045
14 200740
15 201037
16
Analysis of potential cancer biomarkers in mitochondrial DNA.
200631
17 199630
18
Mitochondria, prostate cancer, and biopsy sampling error.
201327
19 200525
20 200817

About Ryan Parr

Ryan Parr is a scholar working on Molecular Biology, Genetics, Cancer Research, Archeology and Ecology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Forensic and Genetic Research (8 papers), Molecular Biology Techniques and Applications (8 papers), Forensic Anthropology and Bioarchaeology Studies (7 papers), Bacteriophages and microbial interactions (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Cancer Genomics and Diagnostics (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Cancer Research (217 citations), Genetics (373 citations), Molecular Biology (880 citations), Archeology (121 citations) and Ecology (307 citations). Ryan Parr has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gabriel D. Dakubo, John P. Jakupciak, Mark A. Birch‐Machin, Dennis H. O’Rourke, Shawn W. Carlyle, Sherwood Casjens, Robert E Thayer, Kathryn Eppler, David Slade and Fred H. Drake. Their work appears in journals such as American Journal of Physical Anthropology, Human Genomics, American Journal of Clinical Pathology, Virology and BioMed Research International.

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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