Milla Kibble
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 2
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- Parkinson's Disease Mechanisms and Treatments 2
- Amyotrophic Lateral Sclerosis Research 2
- Neurological diseases and metabolism 1
- Long-Term Effects of COVID-19 1
- Co-authors
- Tero Aittokallio (2 shared papers)Niina Saarinen (2 shared papers)Sari Mäkelä (2 shared papers)Jing Tang (1 shared paper)Krister Wennerberg (1 shared paper)Desmond J. Higham (1 shared paper)Gabriela Kalna (1 shared paper)Ian Everall (2 shared papers)
- Journals
- European Journal of Epidemiology (1 paper)Drug Discovery Today (1 paper)Brain (1 paper)Royal Society Open Science (1 paper)Neuropathology and Applied Neurobiology (1 paper)
- Partner nations
- FinlandUnited KingdomSweden
In The Last Decade
Milla Kibble
8 papers receiving 653 citations
Milla Kibble's Hit Papers
Peers
Comparison fields: 5 of 117
- Neurology 166
- Pharmacology 83
- Complementary and alternative medicine 73
- Computational Theory and Mathematics 128
- Neurology 51
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 | 346 |
| 2 | 2004 | 135 | |
| 3 | 2006 | 94 | |
| 4 | 2004 | 35 | |
| 5 | 2002 | 26 | |
| 6 | 2023 | 18 | |
| 7 | 2016 | 14 | |
| 8 | 2020 | 7 |
About Milla Kibble
Milla Kibble is a scholar working on Molecular Biology, Neurology, Pharmacology, Computational Theory and Mathematics and Physiology, having authored 8 papers that have together received 675 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Gene Regulatory Network Analysis (2 papers), Neurological diseases and metabolism (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Neurology (166 citations), Pharmacology (83 citations), Complementary and alternative medicine (73 citations), Computational Theory and Mathematics (128 citations) and Neurology (51 citations). Milla Kibble has collaborated with scholars based in Finland, United Kingdom and Sweden. Frequent co-authors include Tero Aittokallio, Niina Saarinen, Sari Mäkelä, Jing Tang, Krister Wennerberg, Desmond J. Higham, Gabriela Kalna, Ian Everall, Safa Al‐Sarraj and Satomi Maekawa. Their work appears in journals such as European Journal of Epidemiology, Drug Discovery Today, Brain, Royal Society Open Science and Neuropathology and Applied Neurobiology.
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.