John-Patrick Mpindi
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
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- Prostate Cancer Treatment and Research 5
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- MicroRNA in disease regulation 2
- Co-authors
- Olli Kallioniemi (19 shared papers)Rami Mäkelä (4 shared papers)Pekka J. Kohonen (6 shared papers)Matthias Nees (3 shared papers)Kristiina Iljin (7 shared papers)Merja Perälä (5 shared papers)Vidal Fey (3 shared papers)Antti P. Happonen (1 shared paper)
- Journals
- PLoS ONE (5 papers)Bioinformatics (2 papers)BMC Cancer (1 paper)Journal of Cellular and Molecular Medicine (1 paper)Oncotarget (1 paper)
- Partner nations
- FinlandSwedenNetherlands
In The Last Decade
John-Patrick Mpindi
23 papers receiving 2.2k citations
John-Patrick Mpindi's Hit Papers
Peers
Comparison fields: 5 of 105
- Computational Theory and Mathematics 370
- Cancer Research 290
- Oncology 247
- Molecular Biology 606
- Immunology and Allergy 46
Countries citing papers authored by John-Patrick Mpindi
This map shows the geographic impact of John-Patrick Mpindi'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 John-Patrick Mpindi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John-Patrick Mpindi more than expected).
Fields of papers citing papers by John-Patrick Mpindi
This network shows the impact of papers produced by John-Patrick Mpindi. 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 John-Patrick Mpindi. The network helps show where John-Patrick Mpindi may publish in the future.
Co-authors
The 25 scholars most cited alongside John-Patrick Mpindi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A community effort to assess and improve drug sensitivity prediction algorithms Hit paper breakdown → | 2014 | 594 |
| 2 | 2010 | 294 | |
| 3 | 2015 | 271 | |
| 4 | 2008 | 229 | |
| 5 | 2013 | 152 | |
| 6 | 2011 | 101 | |
| 7 | 2012 | 92 | |
| 8 | 2020 | 75 | |
| 9 | 2012 | 57 | |
| 10 | 2015 | 52 | |
| 11 | 2011 | 46 | |
| 12 | 2012 | 35 | |
| 13 | 2015 | 31 | |
| 14 | 2018 | 29 | |
| 15 | 2011 | 26 | |
| 16 | 2013 | 24 | |
| 17 | 2015 | 21 | |
| 18 | 2018 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2018 | 16 |
About John-Patrick Mpindi
John-Patrick Mpindi is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Computational Theory and Mathematics, Gastroenterology and Oncology, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Gene expression and cancer classification (4 papers), Computational Drug Discovery Methods (3 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Cancer Cells and Metastasis (2 papers), MicroRNA in disease regulation (2 papers), RNA Interference and Gene Delivery (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Computational Theory and Mathematics (370 citations), Cancer Research (290 citations), Oncology (247 citations), Molecular Biology (606 citations) and Immunology and Allergy (46 citations). John-Patrick Mpindi has collaborated with scholars based in Finland, Sweden and Netherlands. Frequent co-authors include Olli Kallioniemi, Rami Mäkelä, Pekka J. Kohonen, Matthias Nees, Kristiina Iljin, Merja Perälä, Vidal Fey, Antti P. Happonen, Johannes Virtanen and Ville Härmä. Their work appears in journals such as PLoS ONE, Bioinformatics, BMC Cancer, Journal of Cellular and Molecular Medicine and Oncotarget.
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.