Milla Kibble
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Long-Term Effects of COVID-19
-
- Computational Drug Discovery Methods
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
-
- Amyotrophic Lateral Sclerosis Research 2
- Co-authors
- Sari Mäkelä (2 shared papers)Niina Saarinen (2 shared papers)Tero A. Aittokallio (2 shared papers)Jing Ping Tang (1 shared paper)Krister Wennerberg (1 shared paper)Desmond John Higham (1 shared paper)Gabriela Kalna (1 shared paper)Safa Al‐Sarraj (2 shared papers)
- Journals
- The Journal of Infectious Diseases (1 paper)EClinicalMedicine (1 paper)Journal of Computational and Applied Mathematics (1 paper)European Journal of Epidemiology (1 paper)The Lancet Diabetes & Endocrinology (1 paper)
- Partner nations
- United KingdomFinlandGermany
In The Last Decade
Milla Kibble
13 papers receiving 783 citations
Milla Kibble's Hit Papers
Peers
Comparison fields: 5 of 100
- Neurology 187
- Computational Theory and Mathematics 211
- Complementary and alternative medicine 117
- Computational Mathematics 2
- Neurology 23
Countries citing papers authored by Milla Kibble
This map shows the geographic impact of Milla Kibble'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 Milla Kibble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milla Kibble more than expected).
Fields of papers citing papers by Milla Kibble
This network shows the impact of papers produced by Milla Kibble. 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 Milla Kibble. The network helps show where Milla Kibble may publish in the future.
Co-authors
The 25 scholars most cited alongside Milla Kibble, 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 | Network pharmacology applications to map the unexplored target space and therapeutic potential of natural products Hit paper breakdown → | 2015 | 376 |
| 2 | 2004 | 147 | |
| 3 | 2006 | 113 | |
| 4 | 2004 | 38 | |
| 5 | 2002 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 23 | |
| 8 | 2016 | 17 | |
| 9 | 2024 | 14 | |
| 10 | 2020 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 0 |
About Milla Kibble
Milla Kibble is a scholar working on Infectious Diseases, Neurology, Computational Theory and Mathematics, Molecular Biology and Clinical Psychology, having authored 14 papers that have together received 808 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Computational Drug Discovery Methods (2 papers), Bioinformatics and Genomic Networks (2 papers), Epigenetics and DNA Methylation (1 paper), COVID-19 and healthcare impacts (1 paper), Advanced Clustering Algorithms Research (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Neurology (187 citations), Computational Theory and Mathematics (211 citations), Complementary and alternative medicine (117 citations), Computational Mathematics (2 citations) and Neurology (23 citations). Milla Kibble has collaborated with scholars based in United Kingdom, Finland and Germany. Frequent co-authors include Sari Mäkelä, Niina Saarinen, Tero A. Aittokallio, Jing Ping Tang, Krister Wennerberg, Desmond John Higham, Gabriela Kalna, Safa Al‐Sarraj, Satomi Maekawa and P. Nigel Leigh. Their work appears in journals such as The Journal of Infectious Diseases, EClinicalMedicine, Journal of Computational and Applied Mathematics, European Journal of Epidemiology and The Lancet Diabetes & Endocrinology.
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.