Anna Pickin
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
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- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
Papers in
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- Protein Degradation and Inhibitors 4
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- Renal and related cancers 1
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- Acute Myeloid Leukemia Research 5
- Chronic Myeloid Leukemia Treatments 1
- Co-authors
- Salam A. Assi (5 shared papers)Peter N. Cockerill (5 shared papers)Constanze Bonifer (4 shared papers)Anetta Ptasinska (4 shared papers)Olaf Heidenreich (3 shared papers)Maria Rosaria Imperato (3 shared papers)Maarten Hoogenkamp (1 shared paper)Mengchu Wu (1 shared paper)
- Journals
- Cell Reports (3 papers)HemaSphere (1 paper)Blood Advances (1 paper)Experimental Hematology (1 paper)International Journal of Laboratory Hematology (1 paper)
- Partner nations
- United KingdomNetherlandsSingapore
In The Last Decade
Anna Pickin
6 papers receiving 136 citations
Peers
Comparison fields: 5 of 20
- Hematology 100
- Molecular Biology 116
- Cancer Research 13
- Genetics 6
- Immunology and Allergy 3
Countries citing papers authored by Anna Pickin
This map shows the geographic impact of Anna Pickin'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 Pickin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Pickin more than expected).
Fields of papers citing papers by Anna Pickin
This network shows the impact of papers produced by Anna Pickin. 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 Pickin. The network helps show where Anna Pickin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Pickin, 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 | 2014 | 86 | |
| 2 | 2019 | 20 | |
| 3 | 2021 | 14 | |
| 4 | 2018 | 14 | |
| 5 | 2018 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2023 | 0 |
About Anna Pickin
Anna Pickin is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Infectious Diseases, having authored 7 papers that have together received 136 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Protein Degradation and Inhibitors (4 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), Drug Transport and Resistance Mechanisms (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Renal and related cancers (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Hematology (100 citations), Molecular Biology (116 citations), Cancer Research (13 citations), Genetics (6 citations) and Immunology and Allergy (3 citations). Anna Pickin has collaborated with scholars based in United Kingdom, Netherlands and Singapore. Frequent co-authors include Salam A. Assi, Peter N. Cockerill, Constanze Bonifer, Anetta Ptasinska, Olaf Heidenreich, Maria Rosaria Imperato, Maarten Hoogenkamp, Mengchu Wu, Sally James and David R. Westhead. Their work appears in journals such as Cell Reports, HemaSphere, Blood Advances, Experimental Hematology and International Journal of Laboratory Hematology.
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.