Michael Themis

2.4k citations
74 papers · 1.9k · h-index 27

Impact in

  • Genetics top 2%
    • Virus-based gene therapy research
    • Mesenchymal stem cell research
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Virus-based gene therapy research 41
    • Genomic variations and chromosomal abnormalities 1
    • Hemophilia Treatment and Research 3

Michael Themis

72 papers receiving 1.8k citations

Peers

Michael Themis
Comparison fields: 5 of 57
  • Genetics 658
  • Genetics 92
  • Hepatology 89
  • Hematology 89
  • Surgery 150
Replace Katherine Parker Ponder with:
Katherine Parker Ponder United States
Branka Dabovic United States
Lior Zilberberg United States
Lachlan Weir United States
Xiaohong Leng United States
Simone Merlin Italy
Dražen Šošić United States
S. S. Boggs United States
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Toru Nishi Japan
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Citations per field
00.5×2×3×4×4.8×
Katherine Parker Ponder · 1×
Citations per year

Countries citing papers authored by Michael Themis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Themis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004121
2 2006100
3 200396
4 201874
5 199771
6 200367
7 199966
8 200262
9 200962
10 200358
11 200255
12 200355
13 200351
14 200545
15 201045
16 200539
17 200538
18 199836
19 199936
20 200436

About Michael Themis

Michael Themis is a scholar working on Genetics, Hematology, Molecular Biology, Filtration and Separation and Clinical Biochemistry, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (41 papers), Pluripotent Stem Cells Research (3 papers), Hemophilia Treatment and Research (3 papers), Cholesterol and Lipid Metabolism (3 papers), Metabolism and Genetic Disorders (1 paper), Liver physiology and pathology (1 paper), Genomic variations and chromosomal abnormalities (1 paper) and Tracheal and airway disorders (1 paper). The work is most often cited by research in Genetics (658 citations), Genetics (92 citations), Hepatology (89 citations), Hematology (89 citations) and Surgery (150 citations). Michael Themis has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Charles C Coutelle, Simon N. Waddington, Suzanne M. K. Buckley, Terry H Cook, Stuart John Forbes, Megha S. Nivsarkar, Holm Schneider, Anna Louise David, Charles H. Rodeck and Malcolm Ronald Alison. Their work appears in journals such as Gene Therapy, Molecular Therapy, Human Gene Therapy, Journal of Clinical Investigation and Journal of Visualized Experiments.

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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