Diane Tkach
Impact in
- Physiology top 5%
- Calcium signaling and nucleotide metabolism
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- CAR-T cell therapy research
Papers in
-
- RNA Interference and Gene Delivery 6
- CRISPR and Genetic Engineering 5
- Advanced biosensing and bioanalysis techniques 4
- DNA and Nucleic Acid Chemistry 2
- Oncology 5
- CAR-T cell therapy research 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Kyonghee Son (4 shared papers)Alexandre Juillerat (6 shared papers)Philippe Duchâteau (6 shared papers)Laurent Poirot (3 shared papers)Julien Valton (3 shared papers)Aymeric Duclert (4 shared papers)Brian W. Busser (1 shared paper)Stéphane Depil (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)Frontiers in Bioengineering and Biotechnology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Cell Stress and Chaperones (1 paper)Molecular Therapy (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Diane Tkach
15 papers receiving 604 citations
Peers
Comparison fields: 5 of 73
- Physiology 55
- Oncology 162
- Molecular Biology 381
- Epidemiology 158
- Geriatrics and Gerontology 11
Countries citing papers authored by Diane Tkach
This map shows the geographic impact of Diane Tkach'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 Diane Tkach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Tkach more than expected).
Fields of papers citing papers by Diane Tkach
This network shows the impact of papers produced by Diane Tkach. 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 Diane Tkach. The network helps show where Diane Tkach may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane Tkach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 200 | |
| 2 | 2019 | 104 | |
| 3 | 2008 | 62 | |
| 4 | 2000 | 58 | |
| 5 | 2000 | 41 | |
| 6 | 2000 | 37 | |
| 7 | 2008 | 36 | |
| 8 | 2018 | 24 | |
| 9 | 2020 | 17 | |
| 10 | 2001 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2010 | 10 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 1 |
About Diane Tkach
Diane Tkach is a scholar working on Molecular Biology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Biomedical Engineering, having authored 15 papers that have together received 623 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (5 papers), Virus-based gene therapy research (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), CAR-T cell therapy research (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Physiology (55 citations), Oncology (162 citations), Molecular Biology (381 citations), Epidemiology (158 citations) and Geriatrics and Gerontology (11 citations). Diane Tkach has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Kyonghee Son, Alexandre Juillerat, Philippe Duchâteau, Laurent Poirot, Julien Valton, Aymeric Duclert, Brian W. Busser, Stéphane Depil, Christina H. Eng and Robert T. Abraham. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Frontiers in Bioengineering and Biotechnology, Bioorganic & Medicinal Chemistry Letters, Cell Stress and Chaperones and Molecular Therapy.
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.