T Torchia

573 citations
10 papers · 520 indexed · h-index 10

Impact in

    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Prion Diseases and Protein Misfolding
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • Neurological diseases and metabolism

Papers in

    • Fungal and yeast genetics research 6
    • Microbial Metabolic Engineering and Bioproduction 3
    • Plant Gene Expression Analysis 1
    • Prion Diseases and Protein Misfolding 1

T Torchia

10 papers receiving 500 citations

Peers

T Torchia
Comparison fields: 5 of 46
  • Molecular Biology 505
  • Neurology 55
  • Biotechnology 26
  • Nutrition and Dietetics 40
  • Biomedical Engineering 97
Replace Ilona Farkas with:
Ilona Farkas Hungary
Stéphane Demais France
Ashley Birch Switzerland
Joep Schothorst Belgium
Dmitry Blinder United States
B. Mundkur United States
Shingo Nozaki Japan
Otakar Hlaváček Czechia
Doris Ruli Austria
G. J. Sulter Netherlands
T Torchia relative to Ilona Farkas Hungary Ilona Farkas's profile →
Citations per field
00.5×3.4×
Ilona Farkas · 1×
Citations per year

Countries citing papers authored by T Torchia

Since Specialization
Citations

This map shows the geographic impact of T Torchia'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 T Torchia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Torchia more than expected).

Fields of papers citing papers by T Torchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside T Torchia, 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 T Torchia Line = papers co-authored together T Torchia links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199193
2 198832
3 198887
4 198827
5 198725
6 198662
7 198443
8 1984118
9 198316
10 198217

About T Torchia

T Torchia is a scholar working on Clinical Biochemistry, Molecular Biology, Genetics, Rheumatology and Nutrition and Dietetics, having authored 10 papers that have together received 520 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Biofuel production and bioconversion (2 papers), Enzyme Structure and Function (2 papers), Microbial Metabolites in Food Biotechnology (1 paper), Virus-based gene therapy research (1 paper), Plant Gene Expression Analysis (1 paper) and Prion Diseases and Protein Misfolding (1 paper). The work is most often cited by research in Molecular Biology (505 citations), Neurology (55 citations), Biotechnology (26 citations), Nutrition and Dietetics (40 citations) and Biomedical Engineering (97 citations). T Torchia has collaborated with scholars based in United States and India. Frequent co-authors include James E. Hopper, C. Cano, Robert W. Hamilton, Wajeeh Bajwa, D. Lohr, Stanley B. Prusiner, D. Serban, Michael Scott, Mark Rogers and Tibor Gyuris. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Biochemistry, The Journal of Immunology and Genetics.

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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