Kenneth Soo
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Hedgehog Signaling Pathway Studies 2
- Glycosylation and Glycoproteins Research 2
- Developmental Biology and Gene Regulation 2
-
- T-cell and B-cell Immunology 3
- Complement system in diseases 2
- Immunotherapy and Immune Responses 2
- Co-authors
- Thomas J. Schall (3 shared papers)Patrick Tam (2 shared papers)Richard R. Behringer (2 shared papers)Meredith P. O'Rourke (2 shared papers)Albert Zlotnik (1 shared paper)Margit C. Szabo (1 shared paper)Nicole Wong (1 shared paper)Kirsten A. Steiner (1 shared paper)
- Journals
- Developmental Biology (2 papers)European Journal of Immunology (2 papers)The Journal of Immunology (1 paper)British Journal of Haematology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Kenneth Soo
13 papers receiving 712 citations
Peers
Comparison fields: 5 of 85
- Hematology 155
- Immunology 260
- Internal Medicine 43
- Oncology 207
- Immunology and Allergy 39
Countries citing papers authored by Kenneth Soo
This map shows the geographic impact of Kenneth Soo'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 Kenneth Soo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Soo more than expected).
Fields of papers citing papers by Kenneth Soo
This network shows the impact of papers produced by Kenneth Soo. 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 Kenneth Soo. The network helps show where Kenneth Soo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Soo, 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 | 2002 | 182 | |
| 2 | 1995 | 122 | |
| 3 | 1995 | 120 | |
| 4 | 1998 | 86 | |
| 5 | 2002 | 78 | |
| 6 | 1998 | 46 | |
| 7 | 1995 | 38 | |
| 8 | 1996 | 27 | |
| 9 | 1995 | 16 | |
| 10 | 2018 | 9 | |
| 11 | Data Science - was ist das eigentlich?! | 2018 | 4 |
| 12 | 1998 | 2 | |
| 13 | 2019 | 1 |
About Kenneth Soo
Kenneth Soo is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Cancer Research, having authored 13 papers that have together received 731 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Complement system in diseases (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Protease and Inhibitor Mechanisms (2 papers), Immunotherapy and Immune Responses (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Hematology (155 citations), Immunology (260 citations), Internal Medicine (43 citations), Oncology (207 citations) and Immunology and Allergy (39 citations). Kenneth Soo has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Thomas J. Schall, Patrick Tam, Richard R. Behringer, Meredith P. O'Rourke, Albert Zlotnik, Margit C. Szabo, Nicole Wong, Kirsten A. Steiner, Gary Mallinson and D J Anstee. Their work appears in journals such as Developmental Biology, European Journal of Immunology, The Journal of Immunology, British Journal of Haematology and Journal of Biological Chemistry.
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.