David Tosh

5.5k citations
115 papers · 4.2k · h-index 34

Impact in

  • Hepatology top 1%
    • Liver physiology and pathology
  • Surgery top 1%
    • Pancreatic function and diabetes
    • Tissue Engineering and Regenerative Medicine

Papers in

    • Pancreatic function and diabetes 66
    • Pluripotent Stem Cells Research 18
    • Metabolism, Diabetes, and Cancer 7
    • Wnt/β-catenin signaling in development and cancer 7

David Tosh

114 papers receiving 4.1k citations

Peers

David Tosh
Comparison fields: 5 of 130
  • Hepatology 574
  • Surgery 1.8k
  • Genetics 357
  • Molecular Biology 2.0k
  • Genetics 642
Replace Pamela B. Conley with:
Pamela B. Conley United States
Bo Zhai China
Goutam Ghosh Choudhury United States
Kwon Moo Park South Korea
Roberto Gramignoli Sweden
Reid Huber United States
Marie C. DeFrances United States
Thomas Gelehrter United States
Susumu Ohwada Japan
Beate K. Straub Germany
David Tosh relative to Pamela B. Conley United States Pamela B. Conley's profile →
Citations per field
00.5×3.4×
Pamela B. Conley · 1×
Citations per year

Countries citing papers authored by David Tosh

Since Specialization
Citations

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

Fields of papers citing papers by David Tosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000327
2 2002300
3 2010243
4 2003242
5 2008193
6 2002148
7 2001140
8 2009116
9 200595
10 200388
11 201186
12 200282
13 201075
14 200573
15 199865
16 200462
17 198858
18 200056
19 200855
20 200554

About David Tosh

David Tosh is a scholar working on Surgery, Molecular Biology, Genetics, Hepatology and Epidemiology, having authored 115 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (66 papers), Liver physiology and pathology (24 papers), Pluripotent Stem Cells Research (18 papers), Genetics and Neurodevelopmental Disorders (12 papers), Diabetes and associated disorders (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Metabolism, Diabetes, and Cancer (7 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). The work is most often cited by research in Hepatology (574 citations), Surgery (1.8k citations), Genetics (357 citations), Molecular Biology (2.0k citations) and Genetics (642 citations). David Tosh has collaborated with scholars based in United Kingdom, United States and Taiwan. Frequent co-authors include Jonathan Slack, Chia‐Ning Shen, Zoë D. Burke, Wan‐Chun Li, Marko E. Horb, Shifaan Thowfeequ, Loranne Agius, Daniel Eberhard, Weiyuan Yu and Susan Lindsay. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, BioEssays, PLoS ONE and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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