Thomas Masi

960 citations
30 papers · 760 · h-index 15

Impact in

  • Genetics top 10%
    • Animal Genetics and Reproduction
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Physiology top 10%

Papers in

Thomas Masi

29 papers receiving 755 citations

Peers

Thomas Masi
Comparison fields: 5 of 89
  • Genetics 222
  • Physiology 32
  • Molecular Biology 407
  • Immunology 94
  • Psychiatry and Mental health 67
Replace Marc Thiry with:
Marc Thiry Belgium
Vargheese M. Chennathukuzhi United States
Katy Schmidt Austria
Jumpei Enami Japan
Claudio Passananti Italy
Patrizia Romani Italy
Noriko Hiraiwa Japan
Marie‐Laëtitia Thézénas United Kingdom
Daisuke Sakai Japan
Vasiliy Galat United States
Thomas Masi relative to Marc Thiry Belgium Marc Thiry's profile →
Citations per field
00.5×1.5×2.2×
Marc Thiry · 1×
Citations per year

Countries citing papers authored by Thomas Masi

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 200380
3 200680
4 200176
5 200366
6 200447
7 202040
8 200936
9 200731
10 201525
11 201724
12 202018
13 200617
14 202114
15 202214
16 20058
17 20018
18 20198
19 20006
20 20216

About Thomas Masi

Thomas Masi is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Immunology and Surgery, having authored 30 papers that have together received 760 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (6 papers), Developmental Biology and Gene Regulation (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), Animal Genetics and Reproduction (4 papers), Mesenchymal stem cell research (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Genetics (222 citations), Physiology (32 citations), Molecular Biology (407 citations), Immunology (94 citations) and Psychiatry and Mental health (67 citations). Thomas Masi has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include Andrew D. Johnson, Rosemary F. Bachvarova, Tim E. Sparer, Maria Cekanova, Mary E. White, Brian I. Crother, Hildegard M. Schuller, Michael D. Karlstad, J. Jason Collier and Danhong Lu. Their work appears in journals such as Pharmaceutics, Development Genes and Evolution, International Journal of Nanomedicine, Biochemical and Biophysical Research Communications and Cancer.

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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