Anna Konstorum
Impact in
-
- Vitamin D Research Studies
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
Papers in
- Oncology 7
- Cancer Immunotherapy and Biomarkers 3
- Cancer Cells and Metastasis 3
- Co-authors
- David Laperrière (1 shared paper)Benjamin Lallemant (1 shared paper)Rui Zhang (1 shared paper)John H. White (1 shared paper)Tiantian Wang (1 shared paper)Luz E. Tavera-Mendoza (1 shared paper)Yoshihiko Nagai (1 shared paper)Véronique Bourdeau (1 shared paper)
- Journals
- Bulletin of Mathematical Biology (3 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)The Journal of Immunology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Anna Konstorum
17 papers receiving 765 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 326
- Modeling and Simulation 81
- Behavioral Neuroscience 27
- Nutrition and Dietetics 97
- Oncology 145
Countries citing papers authored by Anna Konstorum
This map shows the geographic impact of Anna Konstorum'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 Anna Konstorum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Konstorum more than expected).
Fields of papers citing papers by Anna Konstorum
This network shows the impact of papers produced by Anna Konstorum. 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 Anna Konstorum. The network helps show where Anna Konstorum may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Konstorum, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 498 | |
| 2 | 2017 | 67 | |
| 3 | 2018 | 48 | |
| 4 | 2020 | 37 | |
| 5 | 2016 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2017 | 25 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2023 | 4 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 3 | |
| 14 | Mathematical modeling of tumor-microenvironment dynamics | 2015 | 2 |
| 15 | 2013 | 2 | |
| 16 | 2013 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Anna Konstorum
Anna Konstorum is a scholar working on Oncology, Molecular Biology, Modeling and Simulation, Immunology and Cell Biology, having authored 21 papers that have together received 788 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (3 papers), Ferroptosis and cancer prognosis (2 papers), Microtubule and mitosis dynamics (2 papers), Liver physiology and pathology (2 papers), Immune Cell Function and Interaction (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (326 citations), Modeling and Simulation (81 citations), Behavioral Neuroscience (27 citations), Nutrition and Dietetics (97 citations) and Oncology (145 citations). Anna Konstorum has collaborated with scholars based in United States and Canada. Frequent co-authors include David Laperrière, Benjamin Lallemant, Rui Zhang, John H. White, Tiantian Wang, Luz E. Tavera-Mendoza, Yoshihiko Nagai, Véronique Bourdeau, Eric Libby and Sylvie Mader. Their work appears in journals such as Bulletin of Mathematical Biology, Bioinformatics, Journal of Theoretical Biology, The Journal of Immunology and Oncogene.
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.