Tim Formosa

5.0k citations
65 papers · 4.1k · h-index 41

Impact in

    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA Research and Splicing
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • Genomics and Chromatin Dynamics 39
    • DNA Repair Mechanisms 30
    • RNA Research and Splicing 18
    • RNA and protein synthesis mechanisms 15
    • Fungal and yeast genetics research 14
    • RNA modifications and cancer 14
    • Ubiquitin and proteasome pathways 13
    • Bacterial Genetics and Biotechnology 7

Tim Formosa

64 papers receiving 4.0k citations

Peers

Tim Formosa
Comparison fields: 5 of 75
  • Molecular Biology 3.9k
  • Genetics 596
  • Cell Biology 296
  • Aging 24
  • Plant Science 370
Replace Hideaki Tagami with:
Hideaki Tagami Japan
Jacqueline Segall Canada
Christian Speck United Kingdom
David Kowalski United States
Paul A. Fisher United States
Andor Udvardy Hungary
Katsura Asano United States
Kathleen Becherer United States
Bik‐Kwoon Tye United States
Masumi Hidaka Japan
Tim Formosa relative to Hideaki Tagami Japan Hideaki Tagami's profile →
Citations per field
00.5×1.5×
Hideaki Tagami · 1×
Citations per year

Countries citing papers authored by Tim Formosa

Since Specialization
Citations

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

Fields of papers citing papers by Tim Formosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986231
2 2001228
3 1997185
4 2002177
5 2011169
6 1983148
7 2009145
8 2015135
9 1986134
10 1983128
11 2010126
12 2006120
13 1999118
14 1999117
15 2000106
16 199290
17 202088
18 201675
19 200573
20 200372

About Tim Formosa

Tim Formosa is a scholar working on Molecular Biology, Genetics, Ecology, Oncology and Materials Chemistry, having authored 65 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (39 papers), DNA Repair Mechanisms (30 papers), RNA Research and Splicing (18 papers), RNA and protein synthesis mechanisms (15 papers), Fungal and yeast genetics research (14 papers), RNA modifications and cancer (14 papers), Ubiquitin and proteasome pathways (13 papers) and Bacterial Genetics and Biotechnology (7 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Genetics (596 citations), Cell Biology (296 citations), Aging (24 citations) and Plant Science (370 citations). Tim Formosa has collaborated with scholars based in United States, Russia and Bulgaria. Frequent co-authors include Bruce Alberts, Jacqueline Wittmeyer, Christopher P. Hill, Laura McCullough, David J. Stillman, Frank G. Whitby, Thalia Nittis, Susan Ruone, Xin Hua and Howard Robinson. Their work appears in journals such as Journal of Biological Chemistry, Genetics, Molecular and Cellular Biology, Molecular Cell and Journal of Molecular Biology.

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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