Geetika Bajpai
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 10%
- Oncology
- Co-authors
- Kory J. LavineAndrea BredemeyerDaniel KreiselSlava EpelmanAndrew L. KoenigKonstantin ZaitsevMaxim N. ArtyomovCarla J. Weinheimer
- Topics
- Cardiac Fibrosis and Remodeling (9 papers)Signaling Pathways in Disease (6 papers)Sleep and related disorders (2 papers)
- Journals
- CirculationNature MedicineImmunity
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Geetika Bajpai
17 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cardiology and Cardiovascular Medicine 888
- Molecular Biology 708
- Immunology 470
- Surgery 306
- Oncology 169
Countries citing papers authored by Geetika Bajpai
This map shows the geographic impact of Geetika Bajpai'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 Geetika Bajpai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geetika Bajpai more than expected).
Fields of papers citing papers by Geetika Bajpai
This network shows the impact of papers produced by Geetika Bajpai. 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 Geetika Bajpai. The network helps show where Geetika Bajpai may publish in the future.
Co-authorship network of co-authors of Geetika Bajpai
This figure shows the co-authorship network connecting the top 25 collaborators of Geetika Bajpai. A scholar is included among the top collaborators of Geetika Bajpai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Geetika Bajpai. Geetika Bajpai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 78 | |
| 2 | Single-cell transcriptomics reveals cell-type-specific diversification in human heart failurebreakdown → | 225 |
| 3 | 11 | |
| 4 | 38 | |
| 5 | 82 | |
| 6 | 36 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | Tissue Resident CCR2− and CCR2+ Cardiac Macrophages Differentially Orchestrate Monocyte Recruitment and Fate Specification Following Myocardial Injurybreakdown → | 510 |
| 10 | CCR2-targeted PET imaging of injured heart | 2 |
| 11 | The human heart contains distinct macrophage subsets with divergent origins and functionsbreakdown → | 478 |
| 12 | 71 | |
| 13 | 9 | |
| 14 | 48 | |
| 15 | 12 | |
| 16 | 3 | |
| 17 | 1 |
About Geetika Bajpai
Geetika Bajpai is a scholar working on Cardiology and Cardiovascular Medicine, Biological Psychiatry and Neurology, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (9 papers), Signaling Pathways in Disease (6 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (888 citations), Immunology (470 citations) and Neurology (91 citations). Geetika Bajpai has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Kory J. Lavine, Andrea Bredemeyer, Daniel Kreisel, Slava Epelman, Andrew L. Koenig, Konstantin Zaitsev, Maxim N. Artyomov, Carla J. Weinheimer, Yongjian Liu and Inessa Lokshina. Their work appears in journals such as Circulation, Nature Medicine and Immunity.
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.