David Ruff

587 citations
18 papers · 347 · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Single-cell and spatial transcriptomics
    • Advanced biosensing and bioanalysis techniques
    • Advanced Biosensing Techniques and Applications
    • CRISPR and Genetic Engineering
    • Molecular Biology Techniques and Applications

Papers in

    • Molecular Biology Techniques and Applications 5
    • CRISPR and Genetic Engineering 4
    • Single-cell and spatial transcriptomics 4
    • Advanced biosensing and bioanalysis techniques 4
    • Pluripotent Stem Cells Research 2
    • Cancer Genomics and Diagnostics 3

David Ruff

18 papers receiving 337 citations

Peers

David Ruff
Comparison fields: 5 of 66
  • Cancer Research 43
  • Molecular Biology 207
  • Hematology 26
  • Genetics 20
  • Biophysics 11
Replace Shouheng Lin with:
Shouheng Lin China
Ami Yamamoto United States
Brandy Strake United States
Tatsuo Oikawa Japan
Juan A. Cámara United States
John R. Christin United States
Stephen Proctor United Kingdom
Laurence Jeanson-Leh France
Gavin S. McNee United Kingdom
Xiao Hu China
David Ruff relative to Shouheng Lin China Shouheng Lin's profile →
Citations per field
00.5×5.2×
Shouheng Lin · 1×
Citations per year

Countries citing papers authored by David Ruff

Since Specialization
Citations

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

Fields of papers citing papers by David Ruff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201581
2 201262
3 202148
4 201032
5 201427
6 202022
7 200420
8 201418
9 199615
10 20236
11 20104
12 20133
13 20113
14 20192
15 20211
16 20111
17 20211
18 20131

About David Ruff

David Ruff is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Genetics, having authored 18 papers that have together received 347 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (5 papers), CRISPR and Genetic Engineering (4 papers), Single-cell and spatial transcriptomics (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer Genomics and Diagnostics (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cancer Research (43 citations), Molecular Biology (207 citations), Hematology (26 citations), Genetics (20 citations) and Biophysics (11 citations). David Ruff has collaborated with scholars based in United States, Norway and Spain. Frequent co-authors include Anders Ståhlberg, Pierre Åman, Christer Thomsen, Gemma Johnson, Stephen A. Bustin, Christina Greenwood, Sara Kirvell, Cheryl A.C. Peretz, Benjamin Demaree and Catherine C. Smith. Their work appears in journals such as Cancer Research, Nature Communications, The FASEB Journal, Clinical Chemistry and Genome biology.

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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