Raf M. Podowski
Impact in
- Parasitology top 2%
- Vector-borne infectious diseases
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Bioinformatics and Genomic Networks 2
- Biomedical Text Mining and Ontologies 2
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- Semantic Web and Ontologies 2
- Co-authors
- Herbert H. Winkler (1 shared paper)Siv G. E. Andersson (1 shared paper)Jan O. Andersson (1 shared paper)Ann-Sofie Eriksson (1 shared paper)Alireza Zomorodipour (1 shared paper)C. G. Kurland (1 shared paper)Thomas Sicheritz‐Pontén (1 shared paper)M.Z. Podowski (2 shared papers)
- Journals
- IBM Journal of Research and Development (1 paper)Nature (1 paper)European Journal of Human Genetics (1 paper)PLoS ONE (1 paper)Comparative and Functional Genomics (1 paper)
- Partner nations
- SwedenUnited StatesCanada
In The Last Decade
Raf M. Podowski
12 papers receiving 1.3k citations
Raf M. Podowski's Hit Papers
Peers
Comparison fields: 5 of 103
- Parasitology 251
- Endocrinology 70
- Molecular Biology 862
- Insect Science 154
- Genetics 230
Countries citing papers authored by Raf M. Podowski
This map shows the geographic impact of Raf M. Podowski'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 Raf M. Podowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raf M. Podowski more than expected).
Fields of papers citing papers by Raf M. Podowski
This network shows the impact of papers produced by Raf M. Podowski. 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 Raf M. Podowski. The network helps show where Raf M. Podowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Raf M. Podowski, 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 | The genome sequence of Rickettsia prowazekii and the origin of mitochondria Hit paper breakdown → | 1998 | 1237 |
| 2 | 2008 | 44 | |
| 3 | 2004 | 21 | |
| 4 | 2000 | 17 | |
| 5 | 2000 | 11 | |
| 6 | 2008 | 10 | |
| 7 | 2001 | 10 | |
| 8 | 2005 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2006 | 4 | |
| 11 | 2006 | 4 | |
| 12 | 2004 | 1 |
About Raf M. Podowski
Raf M. Podowski is a scholar working on Molecular Biology, Artificial Intelligence, Aerospace Engineering, Surgery and Oncology, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers), Semantic Web and Ontologies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Nuclear Engineering Thermal-Hydraulics (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Parasitology (251 citations), Endocrinology (70 citations), Molecular Biology (862 citations), Insect Science (154 citations) and Genetics (230 citations). Raf M. Podowski has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Herbert H. Winkler, Siv G. E. Andersson, Jan O. Andersson, Ann-Sofie Eriksson, Alireza Zomorodipour, C. G. Kurland, Thomas Sicheritz‐Pontén, M.Z. Podowski, Erik L. L. Sonnhammer and Claes Wahlestedt. Their work appears in journals such as IBM Journal of Research and Development, Nature, European Journal of Human Genetics, PLoS ONE and Comparative and Functional Genomics.
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.