Matthew S. Holdren

1.2k citations
15 papers · 960 indexed · h-index 12
Topics
TGF-β signaling in diseases (4 papers)Liver physiology and pathology (3 papers)Immune Cell Function and Interaction (3 papers)

In The Last Decade

Matthew S. Holdren

15 papers receiving 944 citations

Peers

Matthew S. Holdren
Comparison fields: 5 of 78
  • Molecular Biology 373
  • Hepatology 328
  • Oncology 206
  • Surgery 193
  • Epidemiology 188
Replace N.S. Gudmann with:
N.S. Gudmann Denmark
Ioannis Diamantis Switzerland
Steffen K. Meurer Germany
Saadia Faouzi United States
Carmen G. Tag Germany
Fazilat F. Mohammed Canada
Michael J. Prinsen United States
Fukiko Furukawa Japan
L. Boussarie France
Hiromi Sakata Japan
Matthew S. Holdren relative to N.S. Gudmann Denmark N.S. Gudmann's profile →
Citations per field
00.5×1.5×
N.S. Gudmann · 1×
Citations per year

Countries citing papers authored by Matthew S. Holdren

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Holdren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew S. Holdren. 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 Matthew S. Holdren. The network helps show where Matthew S. Holdren may publish in the future.

Co-authorship network of co-authors of Matthew S. Holdren

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew S. Holdren. A scholar is included among the top collaborators of Matthew S. Holdren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew S. Holdren. Matthew S. Holdren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 70
2
Functional and Ultrastructural Assessment of Novel OCT Findings in the Cynomolgus Monkey
1
3 51
4 34
5 17
6 7
7 11
8 2
9 33
10 118
11 27
12 100
13 272
14 52
15 165

About Matthew S. Holdren

Matthew S. Holdren is a scholar working on Hepatology, Oncology and Immunology, having authored 15 papers that have together received 960 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Liver physiology and pathology (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hepatology (328 citations), Rheumatology (133 citations) and Oncology (206 citations). Matthew S. Holdren has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Jean S. Campbell, Nelson Fausto, Steven D. Hughes, Thomas E. Palmer, Debra G. Gilbertson, Aaron C. Haran, W. Tony Parks, Matthew M. Yeh, Harald S. Haugen and Renay L. Bauer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Hepatology.

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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