Anna S. Nam
Impact in
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 5%
- Uterine Myomas and Treatments
Papers in
-
- Single-cell and spatial transcriptomics 3
- Kruppel-like factors research 2
-
- Cancer Genomics and Diagnostics 5
- Co-authors
- Ronan Chaligné (4 shared papers)Dan A. Landau (4 shared papers)Young Sik Choi (3 shared papers)Byung Seok Lee (3 shared papers)SiHyun Cho (3 shared papers)Hye Yeon Kim (2 shared papers)Ki Hyun Park (1 shared paper)Hanbyoul Cho (1 shared paper)
- Journals
- Blood (3 papers)Human Reproduction (1 paper)Nature Genetics (1 paper)Cell Genomics (1 paper)Leukemia Research (1 paper)
- Partner nations
- United StatesSouth KoreaAustralia
In The Last Decade
Anna S. Nam
16 papers receiving 559 citations
Peers
Comparison fields: 5 of 76
- Reproductive Medicine 111
- Obstetrics and Gynecology 95
- Cancer Research 165
- Immunology 141
- Hematology 57
Countries citing papers authored by Anna S. Nam
This map shows the geographic impact of Anna S. Nam'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 S. Nam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna S. Nam more than expected).
Fields of papers citing papers by Anna S. Nam
This network shows the impact of papers produced by Anna S. Nam. 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 S. Nam. The network helps show where Anna S. Nam may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna S. Nam, 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 | 2020 | 262 | |
| 2 | 2008 | 73 | |
| 3 | 2022 | 59 | |
| 4 | 2018 | 50 | |
| 5 | 2009 | 42 | |
| 6 | 2010 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 12 | |
| 10 | 2024 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2017 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2020 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Anna S. Nam
Anna S. Nam is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Cell Biology, having authored 17 papers that have together received 565 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Acute Myeloid Leukemia Research (3 papers), Endometriosis Research and Treatment (3 papers), Kruppel-like factors research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Reproductive Medicine (111 citations), Obstetrics and Gynecology (95 citations), Cancer Research (165 citations), Immunology (141 citations) and Hematology (57 citations). Anna S. Nam has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Ronan Chaligné, Dan A. Landau, Young Sik Choi, Byung Seok Lee, SiHyun Cho, Hye Yeon Kim, Ki Hyun Park, Hanbyoul Cho, Larry W. Fisher and Seok Kyo Seo. Their work appears in journals such as Blood, Human Reproduction, Nature Genetics, Cell Genomics and Leukemia Research.
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.