Adrián Jinich
- Molecular Biology
- Materials Chemistry
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Co-authors
- Alán Aspuru‐GuzikBenjamín Sánchez-LengelingMario KrennMatteo AldeghiZhenpeng YaoRoberto Olivares‐AmayaSi Yue GuoAlba Cervera-Lierta
- Topics
- Protein Structure and Dynamics (4 papers)Tuberculosis Research and Epidemiology (4 papers)Mycobacterium research and diagnosis (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Adrián Jinich
18 papers receiving 773 citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 283
- Materials Chemistry 247
- Electrical and Electronic Engineering 162
- Computational Theory and Mathematics 113
- Artificial Intelligence 66
Countries citing papers authored by Adrián Jinich
This map shows the geographic impact of Adrián Jinich'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 Adrián Jinich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrián Jinich more than expected).
Fields of papers citing papers by Adrián Jinich
This network shows the impact of papers produced by Adrián Jinich. 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 Adrián Jinich. The network helps show where Adrián Jinich may publish in the future.
Co-authorship network of co-authors of Adrián Jinich
This figure shows the co-authorship network connecting the top 25 collaborators of Adrián Jinich. A scholar is included among the top collaborators of Adrián Jinich 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 Adrián Jinich. Adrián Jinich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | On scientific understanding with artificial intelligencebreakdown → | 186 |
| 8 | 17 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 64 | |
| 13 | 19 | |
| 14 | 25 | |
| 15 | 30 | |
| 16 | 68 | |
| 17 | 189 | |
| 18 | 59 | |
| 19 | 69 |
About Adrián Jinich
Adrián Jinich is a scholar working on Aging, Infectious Diseases and Molecular Biology, having authored 19 papers that have together received 790 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Tuberculosis Research and Epidemiology (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Aging (46 citations), Health Informatics (14 citations) and Computational Theory and Mathematics (113 citations). Adrián Jinich has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Alán Aspuru‐Guzik, Benjamín Sánchez-Lengeling, Mario Krenn, Matteo Aldeghi, Zhenpeng Yao, Roberto Olivares‐Amaya, Si Yue Guo, Alba Cervera-Lierta, AkshatKumar Nigam and Gabriel dos Passos Gomes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.