Bill Söderström
Impact in
- Endocrinology top 10%
- Escherichia coli research studies
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 3
- Gut microbiota and health 3
- Ecology 15
- Bacteriophages and microbial interactions 13
- Co-authors
- Daniel O. Daley (12 shared papers)Ulf Skoglund (7 shared papers)Gunnar von Heijne (4 shared papers)Riccardo Funari (2 shared papers)Amy Q. Shen (2 shared papers)Hans Blom (1 shared paper)David S. Weiss (1 shared paper)Iain G. Duggin (6 shared papers)
In The Last Decade
Bill Söderström
28 papers receiving 492 citations
Peers
Comparison fields: 5 of 80
- Endocrinology 42
- Genetics 229
- Structural Biology 11
- Ecology 149
- Molecular Medicine 28
Countries citing papers authored by Bill Söderström
This map shows the geographic impact of Bill Söderström'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 Bill Söderström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bill Söderström more than expected).
Fields of papers citing papers by Bill Söderström
This network shows the impact of papers produced by Bill Söderström. 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 Bill Söderström. The network helps show where Bill Söderström may publish in the future.
Co-authors
The 25 scholars most cited alongside Bill Söderström, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 60 | |
| 2 | 2021 | 49 | |
| 3 | 2018 | 35 | |
| 4 | 2016 | 34 | |
| 5 | 2017 | 29 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2016 | 25 | |
| 9 | 2016 | 24 | |
| 10 | 2014 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2019 | 13 | |
| 16 | 2018 | 12 | |
| 17 | 2012 | 10 | |
| 18 | 2020 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 2022 | 6 |
About Bill Söderström
Bill Söderström is a scholar working on Molecular Biology, Ecology, Genetics, Epidemiology and Endocrinology, having authored 29 papers that have together received 497 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (11 papers), Genomics and Phylogenetic Studies (5 papers), Escherichia coli research studies (5 papers), Urinary Tract Infections Management (5 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Endocrinology (42 citations), Genetics (229 citations), Structural Biology (11 citations), Ecology (149 citations) and Molecular Medicine (28 citations). Bill Söderström has collaborated with scholars based in Japan, Australia and Sweden. Frequent co-authors include Daniel O. Daley, Ulf Skoglund, Gunnar von Heijne, Riccardo Funari, Amy Q. Shen, Hans Blom, David S. Weiss, Iain G. Duggin, Kang-Yu Chu and Patrick J. Shilling. Their work appears in journals such as Nature Communications, Molecular Microbiology, Current Genetics, Journal of Bacteriology and Scientific Reports.
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.