Fred Kolling
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
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- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Single-cell and spatial transcriptomics 6
- Molecular Biology Techniques and Applications 3
- Oncology 10
- Co-authors
- Claudia Jakubzick (4 shared papers)Xin Li (3 shared papers)Arlind B. Mara (2 shared papers)Sophie L. Gibbings (2 shared papers)Christina V. Angeles (1 shared paper)W. T. King (2 shared papers)Aleksey Molodtsov (1 shared paper)Jiang Gui (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Nature Communications (2 papers)Life Science Alliance (2 papers)Cancer Research (2 papers)Neuro-Oncology (1 paper)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Fred Kolling
21 papers receiving 312 citations
Peers
Comparison fields: 5 of 66
- Immunology 158
- Oncology 119
- Cancer Research 33
- Microbiology 12
- Health Informatics 2
Countries citing papers authored by Fred Kolling
This map shows the geographic impact of Fred Kolling'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 Fred Kolling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Kolling more than expected).
Fields of papers citing papers by Fred Kolling
This network shows the impact of papers produced by Fred Kolling. 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 Fred Kolling. The network helps show where Fred Kolling may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Kolling, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 91 | |
| 2 | 2023 | 46 | |
| 3 | 2021 | 32 | |
| 4 | 2022 | 30 | |
| 5 | 2024 | 29 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2021 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2023 | 1 |
About Fred Kolling
Fred Kolling is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 315 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Molecular Biology Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (3 papers), Immunotherapy and Immune Responses (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Immunology (158 citations), Oncology (119 citations), Cancer Research (33 citations), Microbiology (12 citations) and Health Informatics (2 citations). Fred Kolling has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Claudia Jakubzick, Xin Li, Arlind B. Mara, Sophie L. Gibbings, Christina V. Angeles, W. T. King, Aleksey Molodtsov, Jiang Gui, Jan L. Fisher and Keisuke Shirai. Their work appears in journals such as Clinical Cancer Research, Nature Communications, Life Science Alliance, Cancer Research and Neuro-Oncology.
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.