Anna Genell
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
- Oncology 6
- Peptidase Inhibition and Analysis 5
- Cancer Treatment and Pharmacology 2
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- Multiple Myeloma Research and Treatments 6
- Co-authors
- Gunnar Steineck (2 shared papers)Szilárd Nemes (2 shared papers)Junmei Miao Jonasson (1 shared paper)Paul W. Dickman (1 shared paper)Ingemar Turesson (5 shared papers)Cecilie Blimark (6 shared papers)Kristina Carlson (3 shared papers)Bo Björkstrand (2 shared papers)
- Journals
- BMC Medical Research Methodology (2 papers)Haematologica (2 papers)European Journal Of Haematology (1 paper)International Journal for Quality in Health Care (1 paper)Blood (1 paper)
- Partner nations
- SwedenUnited StatesIceland
In The Last Decade
Anna Genell
11 papers receiving 517 citations
Peers
Comparison fields: 5 of 143
- Hematology 140
- Statistics and Probability 50
- Genetics 41
- Oncology 103
- Health 24
Countries citing papers authored by Anna Genell
This map shows the geographic impact of Anna Genell'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 Genell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Genell more than expected).
Fields of papers citing papers by Anna Genell
This network shows the impact of papers produced by Anna Genell. 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 Genell. The network helps show where Anna Genell may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Genell, 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 | 2009 | 312 | |
| 2 | 2017 | 97 | |
| 3 | 2010 | 69 | |
| 4 | 2017 | 38 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 4 | |
| 7 | Usefulness of current risk groups in the treatment of surgically staged endometrial carcinomas; a population-based study from Western Sweden. | 2009 | 4 |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 |
About Anna Genell
Anna Genell is a scholar working on Oncology, Hematology, Molecular Biology, General Health Professions and Statistics and Probability, having authored 11 papers that have together received 536 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (5 papers), Protein Degradation and Inhibitors (4 papers), Health Policy Implementation Science (2 papers), Cancer Treatment and Pharmacology (2 papers), Statistical Methods and Bayesian Inference (2 papers), Delphi Technique in Research (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Hematology (140 citations), Statistics and Probability (50 citations), Genetics (41 citations), Oncology (103 citations) and Health (24 citations). Anna Genell has collaborated with scholars based in Sweden, United States and Iceland. Frequent co-authors include Gunnar Steineck, Szilárd Nemes, Junmei Miao Jonasson, Paul W. Dickman, Ingemar Turesson, Cecilie Blimark, Kristina Carlson, Bo Björkstrand, Gunnar Juliusson and Hareth Nahi. Their work appears in journals such as BMC Medical Research Methodology, Haematologica, European Journal Of Haematology, International Journal for Quality in Health Care and Blood.
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.