Anna Miller
Impact in
-
- Endoplasmic Reticulum Stress and Disease
-
- Diet and metabolism studies
Papers in
-
- Machine Learning in Bioinformatics 1
-
- Asymmetric Synthesis and Catalysis 1
- Co-authors
- Richard D. Feinman (6 shared papers)David W. Essex (3 shared papers)Mengru Li (1 shared paper)Eugene J. Fine (2 shared papers)Edward V. Quadros (1 shared paper)Jeffrey M. Sequeira (1 shared paper)Maria Świątkowska (1 shared paper)Alvin M. Malkinson (2 shared papers)
- Journals
- Biochemistry (2 papers)Blood (1 paper)Chemical Communications (1 paper)Cancer Cell International (1 paper)Toxicology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Anna Miller
12 papers receiving 365 citations
Peers
Comparison fields: 5 of 64
- Cell Biology 92
- Physiology 23
- Cancer Research 74
- Hematology 51
- Obstetrics and Gynecology 28
Countries citing papers authored by Anna Miller
This map shows the geographic impact of Anna Miller'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 Miller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Miller more than expected).
Fields of papers citing papers by Anna Miller
This network shows the impact of papers produced by Anna Miller. 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 Miller. The network helps show where Anna Miller may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Miller, 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 | 2001 | 112 | |
| 2 | 2009 | 79 | |
| 3 | 1999 | 43 | |
| 4 | 2004 | 35 | |
| 5 | 1990 | 30 | |
| 6 | 1994 | 23 | |
| 7 | 1994 | 22 | |
| 8 | 2020 | 22 | |
| 9 | 2023 | 6 | |
| 10 | 1993 | 4 | |
| 11 | 1980 | 2 | |
| 12 | 2015 | 1 | |
| 13 | Anti-Cancer Peptide PNC-27 Kills Cancer Cells by Unique Interactions with Plasma Membrane-Bound hdm-2 and with Mitochondrial Membranes Causing Mitochondrial Disruption. | 2024 | 0 |
About Anna Miller
Anna Miller is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 379 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (2 papers), Adipose Tissue and Metabolism (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Blood properties and coagulation (2 papers), Peptidase Inhibition and Analysis (1 paper), Mast cells and histamine (1 paper), Asymmetric Synthesis and Catalysis (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cell Biology (92 citations), Physiology (23 citations), Cancer Research (74 citations), Hematology (51 citations) and Obstetrics and Gynecology (28 citations). Anna Miller has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard D. Feinman, David W. Essex, Mengru Li, Eugene J. Fine, Edward V. Quadros, Jeffrey M. Sequeira, Maria Świątkowska, Mengru Li, Alvin M. Malkinson and David Ross. Their work appears in journals such as Biochemistry, Blood, Chemical Communications, Cancer Cell International and Toxicology.
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.