Mercedes Tkach
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Immunology top 1%
- Biomedical Engineering top 5%
- Infectious Diseases top 2%
- Co-authors
- Clotilde ThéryJoanna KowalMabel JouveDamarys LoewFlorent DingliMarina ColomboBjarke Primdal-BengtsonGuillaume Arras
- Topics
- Extracellular vesicles in disease (13 papers)MicroRNA in disease regulation (7 papers)Immunotherapy and Immune Responses (7 papers)
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Mercedes Tkach
25 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 7.3k
- Cancer Research 3.9k
- Immunology 1.6k
- Biomedical Engineering 763
- Infectious Diseases 575
Countries citing papers authored by Mercedes Tkach
This map shows the geographic impact of Mercedes 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 Mercedes Tkach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mercedes Tkach more than expected).
Fields of papers citing papers by Mercedes Tkach
This network shows the impact of papers produced by Mercedes 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 Mercedes Tkach. The network helps show where Mercedes Tkach may publish in the future.
Co-authorship network of co-authors of Mercedes Tkach
This figure shows the co-authorship network connecting the top 25 collaborators of Mercedes Tkach. A scholar is included among the top collaborators of Mercedes Tkach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mercedes Tkach. Mercedes Tkach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 13 | |
| 3 | 83 | |
| 4 | 6 | |
| 5 | 44 | |
| 6 | 108 | |
| 7 | 55 | |
| 8 | 292 | |
| 9 | 254 | |
| 10 | Communication by Extracellular Vesicles: Where We Are and Where We Need to Gobreakdown → | 2684 |
| 11 | Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypesbreakdown → | 2625 |
| 12 | 42 | |
| 13 | Biogenesis and secretion of exosomesbreakdown → | 1432 |
| 14 | 27 | |
| 15 | 77 | |
| 16 | 38 | |
| 17 | 43 | |
| 18 | 85 | |
| 19 | 23 | |
| 20 | 31 |
About Mercedes Tkach
Mercedes Tkach is a scholar working on Immunology, Cancer Research and Immunology and Allergy, having authored 25 papers that have together received 8.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (13 papers), MicroRNA in disease regulation (7 papers) and Immunotherapy and Immune Responses (7 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (7.3k citations) and Immunology (1.6k citations). Mercedes Tkach has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Clotilde Théry, Joanna Kowal, Mabel Jouve, Damarys Loew, Florent Dingli, Marina Colombo, Bjarke Primdal-Bengtson, Guillaume Arras, Lorena Martín‐Jaular and Roxana Schillaci. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.