Anna Dvorkin‐Gheva
- Immunology top 5%
- Biological Psychiatry top 10%
- Oncology top 10%
- Cancer Cells and Metastasis 6
- CAR-T cell therapy research 5
- Obstetrics and Gynecology top 10%
-
- Breast Cancer Treatment Studies 6
-
- Neurotransmitter Receptor Influence on Behavior 10
-
- Asthma and respiratory diseases 10
-
- Obsessive-Compulsive Spectrum Disorders 9
-
- Epigenetics and DNA Methylation 7
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
- Co-authors
- John A. HassellHenry SzechtmanRobin HallettAnita BaneSam AfkhamiMangalakumari JeyanathanZhou XingYushi Yao
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Anna Dvorkin‐Gheva
74 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 619
- Biological Psychiatry 51
- Oncology 335
- Obstetrics and Gynecology 85
- Cancer Research 152
Countries citing papers authored by Anna Dvorkin‐Gheva
This map shows the geographic impact of Anna Dvorkin‐Gheva'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 Dvorkin‐Gheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Dvorkin‐Gheva more than expected).
Fields of papers citing papers by Anna Dvorkin‐Gheva
This network shows the impact of papers produced by Anna Dvorkin‐Gheva. 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 Dvorkin‐Gheva. The network helps show where Anna Dvorkin‐Gheva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna Dvorkin‐Gheva, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 101 | |
| 9 | 2021 | 53 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 38 | |
| 15 | Induction of Autonomous Memory Alveolar Macrophages Requires T Cell Help and Is Critical to Trained Immunitybreakdown → | 2018 | 341 |
| 16 | 2017 | 32 | |
| 17 | 2017 | 15 | |
| 18 | 2016 | 8 | |
| 19 | 2010 | 13 | |
| 20 | 2008 | 7 |
About Anna Dvorkin‐Gheva
Anna Dvorkin‐Gheva is a scholar working on Biological Psychiatry, Immunology and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (10 papers), Asthma and respiratory diseases (10 papers), Obsessive-Compulsive Spectrum Disorders (9 papers), Epigenetics and DNA Methylation (7 papers), Cancer Cells and Metastasis (6 papers), Breast Cancer Treatment Studies (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (619 citations), Biological Psychiatry (51 citations) and Oncology (335 citations). Anna Dvorkin‐Gheva has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include John A. Hassell, Henry Szechtman, Robin Hallett, Anita Bane, Sam Afkhami, Mangalakumari Jeyanathan, Zhou Xing, Yushi Yao, Maryam Vaseghi‐Shanjani and Siamak Haddadi. Their work appears in journals such as Cell, Blood and Nature Immunology.
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.