Anna Pickin

664 citations
7 papers · 139 · h-index 4

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Histone Deacetylase Inhibitors Research
    • Ubiquitin and proteasome pathways

Papers in

    • Protein Degradation and Inhibitors 4
    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 2
    • Renal and related cancers 1
    • Amyloidosis: Diagnosis, Treatment, Outcomes 1
    • Acute Myeloid Leukemia Research 5

Anna Pickin

7 papers receiving 139 citations

Peers

Anna Pickin
Comparison fields: 5 of 21
  • Hematology 100
  • Molecular Biology 112
  • Cancer Research 13
  • Genetics 7
  • Immunology and Allergy 3
Replace Natalia Martinez-Soria with:
Natalia Martinez-Soria United Kingdom
Elizabeth Heyes Austria
Bettina Moehrle Germany
Sorcha O’Byrne United Kingdom
Diego Chacon Fajardo Australia
Aino‐Maija Leppä Germany
Sam Watcham United Kingdom
Charles Dussiau France
Inge van der Werf Netherlands
Konstanze Doehner Germany
Anna Pickin relative to Natalia Martinez-Soria United Kingdom Natalia Martinez-Soria's profile →
Citations per field
00.5×1.5×1.8×
Natalia Martinez-Soria · 1×
Citations per year

Countries citing papers authored by Anna Pickin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Anna Pickin Line = papers co-authored together Anna Pickin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201487
2 201920
3 202114
4 201814
5 20212
6 20231
7 20181

About Anna Pickin

Anna Pickin is a scholar working on Molecular Biology, Hematology, Genetics, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 139 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), Chronic Lymphocytic Leukemia Research (1 paper), Renal and related cancers (1 paper) and Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper). The work is most often cited by research in Hematology (100 citations), Molecular Biology (112 citations), Cancer Research (13 citations), Genetics (7 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, Maria Rosaria Imperato, Olaf Heidenreich, Jason Piper, Mengchu Wu, David R. Westhead and Dan Williamson. 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.

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