Adriana Bora

2.5k total citations · 1 hit paper
8 papers, 2.1k citations indexed

About

Adriana Bora is a scholar working on Molecular Biology, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Adriana Bora has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Social Psychology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Adriana Bora's work include Neuroendocrine regulation and behavior (3 papers), Receptor Mechanisms and Signaling (2 papers) and HIV Research and Treatment (1 paper). Adriana Bora is often cited by papers focused on Neuroendocrine regulation and behavior (3 papers), Receptor Mechanisms and Signaling (2 papers) and HIV Research and Treatment (1 paper). Adriana Bora collaborates with scholars based in United States, Sweden and Netherlands. Adriana Bora's co-authors include Johan Skog, Jan Lötvall, Cecilia Lässer, Marca H. M. Wauben, Kenneth W. Witwer, Edit I. Buzás, Sarada Sivaraman, Clotilde Théry, Melissa Piper and Fred H. Hochberg and has published in prestigious journals such as Developmental Biology, Journal of Proteome Research and Journal of Extracellular Vesicles.

In The Last Decade

Adriana Bora

8 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Standardization of sample collection, isolation and analysis methods in extracellular vesicle research

2013 1.9k citations Kenneth W. Witwer, Edit I. Buzás et al. Journal of Extracellular Vesicles profile →

Peers

Adriana Bora

MB

CR

IMMUN

BE

PRM

Borbála Aradi Hungary

Sarada Sivaraman United States

Petra Misják Hungary

Erna Pap Hungary

Rikke Bæk Denmark

Barbara W. Sódar Hungary

Xabier Osteikoetxea Hungary

Zsuzsanna Pál Hungary

Krisztina Pálóczi Hungary

Eduard Willms Australia

Borbála Aradi Hungary

Adriana Bora

1.7k ×0.9

MB

884 ×0.8

CR

354 ×1.5

IMMUN

204 ×0.9

BE

100 ×0.9

PRM

Citations per year, relative to Adriana Bora Adriana Bora (= 1×) peers Borbála Aradi

Countries citing papers authored by Adriana Bora

Since Specialization

Citations

This map shows the geographic impact of Adriana Bora'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 Adriana Bora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adriana Bora more than expected).

Fields of papers citing papers by Adriana Bora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adriana Bora. 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 Adriana Bora. The network helps show where Adriana Bora may publish in the future.

Co-authorship network of co-authors of Adriana Bora

This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Bora. A scholar is included among the top collaborators of Adriana Bora 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 Adriana Bora. Adriana Bora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Wynn, Daniel, Daniel Sellers, Alex L. Lublin, et al.. (2022). Effectiveness and safety of switching to teriflunomide in older patients with relapsing multiple sclerosis: A real-world retrospective multicenter analysis. Multiple Sclerosis and Related Disorders. 70. 104472–104472. 3 indexed citations

2.

Bora, Adriana, et al.. (2021). Bridging the trust gaps in biometrics. Biometric Technology Today. 2021(3). 5–8. 1 indexed citations

3.

Bora, Adriana, Ceereena Ubaida‐Mohien, Raghothama Chaerkady, et al.. (2014). Identification of putative biomarkers for HIV-associated neurocognitive impairment in the CSF of HIV-infected patients under cART therapy determined by mass spectrometry. Journal of NeuroVirology. 20(5). 457–465. 19 indexed citations

4.

Witwer, Kenneth W., Edit I. Buzás, Lynne Bemis, et al.. (2013). Standardization of sample collection, isolation and analysis methods in extracellular vesicle research. Journal of Extracellular Vesicles. 2(1). 1926 indexed citations breakdown →

5.

Bora, Adriana, et al.. (2012). Robust Two-Dimensional Separation of Intact Proteins for Bottom-Up Tandem Mass Spectrometry of the Human CSF Proteome. Journal of Proteome Research. 11(6). 3143–3149. 15 indexed citations

6.

Aujla, Paven K., et al.. (2011). The Notch effector gene Hes1 regulates migration of hypothalamic neurons, neuropeptide content and axon targeting to the pituitary. Developmental Biology. 353(1). 61–71. 32 indexed citations

7.

Millet, Larry J., Adriana Bora, Jonathan V. Sweedler, & Martha U. Gillette. (2009). Direct Cellular Peptidomics of Supraoptic Magnocellular and Hippocampal Neurons in Low-Density Cocultures. ACS Chemical Neuroscience. 1(1). 36–48. 17 indexed citations

8.

Bora, Adriana, Suresh P. Annangudi, Larry J. Millet, et al.. (2008). Neuropeptidomics of the Supraoptic Rat Nucleus. Journal of Proteome Research. 7(11). 4992–5003. 50 indexed citations

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.

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