Attilla Ting

637 citations
17 papers · 467 · h-index 13

Impact in

    • Protease and Inhibitor Mechanisms
    • PARP inhibition in cancer therapy
    • Peptidase Inhibition and Analysis

Papers in

    • DNA Repair Mechanisms 5
    • Cancer therapeutics and mechanisms 4
    • DNA and Nucleic Acid Chemistry 3
    • Peptidase Inhibition and Analysis 3
    • PARP inhibition in cancer therapy 3

Attilla Ting

17 papers receiving 454 citations

Peers

Attilla Ting
Comparison fields: 5 of 72
  • Cancer Research 92
  • Oncology 164
  • Toxicology 15
  • Immunology and Allergy 24
  • Molecular Biology 267
Replace Marc R. Arnone with:
Marc R. Arnone United States
Laura L. Rokosz United States
Manfred Schudok Germany
Karen L. Milkiewicz United States
Zhonghui Lu United States
Mary Pat Beavers United States
Guoshun Luo China
Angela Seaton United Kingdom
Rachel E. Davis United States
Asaad Nematalla United States
Attilla Ting relative to Marc R. Arnone United States Marc R. Arnone's profile →
Citations per field
00.5×1.5×2.1×
Marc R. Arnone · 1×
Citations per year

Countries citing papers authored by Attilla Ting

Since Specialization
Citations

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

Fields of papers citing papers by Attilla Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200768
2 201767
3 201966
4 201660
5 201342
6 202238
7 201220
8 201118
9 201018
10 201118
11 201113
12 200912
13 201112
14 20227
15 20006
16 20191
17 20191

About Attilla Ting

Attilla Ting is a scholar working on Molecular Biology, Oncology, Cancer Research, Toxicology and Computational Theory and Mathematics, having authored 17 papers that have together received 467 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Cancer therapeutics and mechanisms (4 papers), Protease and Inhibitor Mechanisms (4 papers), Peptidase Inhibition and Analysis (3 papers), Computational Drug Discovery Methods (3 papers), DNA and Nucleic Acid Chemistry (3 papers), PARP inhibition in cancer therapy (3 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Cancer Research (92 citations), Oncology (164 citations), Toxicology (15 citations), Immunology and Allergy (24 citations) and Molecular Biology (267 citations). Attilla Ting has collaborated with scholars based in United Kingdom, Germany and Poland. Frequent co-authors include S. Gerhardt, Gillian M. Lamont, David Hargreaves, Frederick W. Goldberg, David T. Beattie, Julia Bárdos, Roger J. Griffin, Ian R. Hardcastle, M. Raymond V. Finlay and Céline Cano. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Cancer Research, ACS Medicinal Chemistry Letters 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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