Arven Saunders

1.4k citations
9 papers · 719 · h-index 8

Impact in

    • Pluripotent Stem Cells Research
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Renal and related cancers
    • Genomics and Chromatin Dynamics

Papers in

    • Pluripotent Stem Cells Research 8
    • CRISPR and Genetic Engineering 5
    • Renal and related cancers 4
    • Epigenetics and DNA Methylation 1
    • Tissue Engineering and Regenerative Medicine 1

Arven Saunders

8 papers receiving 711 citations

Peers

Arven Saunders
Comparison fields: 5 of 66
  • Molecular Biology 613
  • Aging 11
  • Cancer Research 50
  • Genetics 68
  • Oncology 56
Replace Michiyo Koyanagi‐Aoi with:
Michiyo Koyanagi‐Aoi Japan
Irène Aksoy France
Lingyi Chen China
Jackson A. Hoffman United States
Chikai Zhou Sweden
Yongli Shan China
Shaunak Adkar United States
Rocio Enriquez-Gasca United Kingdom
Patrick A. Ozark United States
Peter G. Hendrickson United States
Arven Saunders relative to Michiyo Koyanagi‐Aoi Japan Michiyo Koyanagi‐Aoi's profile →
Citations per field
00.5×1.5×1.8×
Michiyo Koyanagi‐Aoi · 1×
Citations per year

Countries citing papers authored by Arven Saunders

Since Specialization
Citations

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

Fields of papers citing papers by Arven Saunders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2013321
2 201393
3 201287
4 201676
5 201772
6 201245
7 201714
8 201711
9 20140

About Arven Saunders

Arven Saunders is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 719 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), CRISPR and Genetic Engineering (5 papers), Renal and related cancers (4 papers), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper), Neuroscience and Neural Engineering (1 paper), Epigenetics and DNA Methylation (1 paper), Tissue Engineering and Regenerative Medicine (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Molecular Biology (613 citations), Aging (11 citations), Cancer Research (50 citations), Genetics (68 citations) and Oncology (56 citations). Arven Saunders has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Jianlong Wang, Francesco Faiola, Miguel Fidalgo, Junjun Ding, José Silva, Zhe Li, Satyabrata Das, Wolf Reik, Pavel V. Shliaha and Mingjiang Xu. Their work appears in journals such as Stem Cell Reports, Cell Reports, Nature, Stem Cells and Cell stem cell.

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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