Anna Guzman
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Mesenchymal stem cell research
Papers in
-
- Epigenetics and DNA Methylation 11
- Protein Degradation and Inhibitors 5
- Histone Deacetylase Inhibitors Research 3
- Cancer-related gene regulation 3
- RNA modifications and cancer 3
- Hematology 15
- Acute Myeloid Leukemia Research 14
- Co-authors
- Margaret A. Goodell (20 shared papers)Mira Jeong (6 shared papers)Wei Li (6 shared papers)Yun Huang (8 shared papers)Yung‐Hsin Huang (4 shared papers)Hyun Jung Park (3 shared papers)Yong Lei (2 shared papers)Jianzhong Su (4 shared papers)
- Journals
- Blood (6 papers)Nature Genetics (2 papers)Cancer Letters (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Anna Guzman
17 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Hematology 428
- Genetics 229
- Molecular Biology 642
- Cancer Research 108
- Rehabilitation 22
Countries citing papers authored by Anna Guzman
This map shows the geographic impact of Anna Guzman'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 Guzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Guzman more than expected).
Fields of papers citing papers by Anna Guzman
This network shows the impact of papers produced by Anna Guzman. 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 Guzman. The network helps show where Anna Guzman may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Guzman, 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 | 2018 | 203 | |
| 2 | 2016 | 194 | |
| 3 | 2018 | 156 | |
| 4 | 2006 | 149 | |
| 5 | 2018 | 108 | |
| 6 | 2022 | 42 | |
| 7 | 2020 | 36 | |
| 8 | 2019 | 31 | |
| 9 | 2020 | 28 | |
| 10 | 2023 | 23 | |
| 11 | 2022 | 17 | |
| 12 | 2017 | 11 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2018 | 1 | |
| 18 | 2018 | 0 | |
| 19 | 2017 | 0 | |
| 20 | 2022 | 0 |
About Anna Guzman
Anna Guzman is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Genetics, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Epigenetics and DNA Methylation (11 papers), Protein Degradation and Inhibitors (5 papers), Cancer Genomics and Diagnostics (3 papers), Genetic Syndromes and Imprinting (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer-related gene regulation (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Hematology (428 citations), Genetics (229 citations), Molecular Biology (642 citations), Cancer Research (108 citations) and Rehabilitation (22 citations). Anna Guzman has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Margaret A. Goodell, Mira Jeong, Wei Li, Yun Huang, Yung‐Hsin Huang, Hyun Jung Park, Yong Lei, Jianzhong Su, Xiaotian Zhang and Myunggon Ko. Their work appears in journals such as Blood, Nature Genetics, Cancer Letters, Nature Communications and Cell Reports.
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.