Anna Krug
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
Papers in
-
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 2
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- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Daniel A. Pollyea (8 shared papers)Angelo D’Alessandro (6 shared papers)Craig T. Jordan (9 shared papers)Brett M. Stevens (8 shared papers)Shanshan Pei (9 shared papers)Haobin Ye (6 shared papers)Courtney L. Jones (7 shared papers)Rachel Culp‐Hill (5 shared papers)
- Journals
- Blood (5 papers)Cancer Cell (2 papers)Nature Cancer (1 paper)Cancer Discovery (1 paper)Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Anna Krug
9 papers receiving 769 citations
Anna Krug's Hit Papers
Peers
Comparison fields: 5 of 54
- Hematology 407
- Cancer Research 227
- Molecular Biology 497
- Genetics 53
- Immunology 77
Countries citing papers authored by Anna Krug
This map shows the geographic impact of Anna Krug'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 Krug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Krug more than expected).
Fields of papers citing papers by Anna Krug
This network shows the impact of papers produced by Anna Krug. 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 Krug. The network helps show where Anna Krug may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Krug, 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 | Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells Hit paper breakdown → | 2018 | 398 |
| 2 | 2020 | 193 | |
| 3 | 2021 | 99 | |
| 4 | 2019 | 47 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 10 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2022 | 1 | |
| 10 | Relacje inwestorskie jako narzędzie budowania zaufania uczestników rynku kapitałowego | 2008 | 0 |
About Anna Krug
Anna Krug is a scholar working on Hematology, Molecular Biology, Infectious Diseases, Political Science and International Relations and Genetics, having authored 10 papers that have together received 772 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Protein Degradation and Inhibitors (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Leadership, Human Resources, Global Affairs (1 paper), Mast cells and histamine (1 paper) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Hematology (407 citations), Cancer Research (227 citations), Molecular Biology (497 citations), Genetics (53 citations) and Immunology (77 citations). Anna Krug has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Daniel A. Pollyea, Angelo D’Alessandro, Craig T. Jordan, Brett M. Stevens, Shanshan Pei, Haobin Ye, Courtney L. Jones, Rachel Culp‐Hill, Clayton A. Smith and James DeGregori. Their work appears in journals such as Blood, Cancer Cell, Nature Cancer, Cancer Discovery and Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu.
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.