Geidy E. Serrano

16.9k total citations · 2 hit papers
177 papers, 6.5k citations indexed

About

Geidy E. Serrano is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Geidy E. Serrano has authored 177 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Physiology, 73 papers in Neurology and 48 papers in Molecular Biology. Recurrent topics in Geidy E. Serrano's work include Alzheimer's disease research and treatments (81 papers), Parkinson's Disease Mechanisms and Treatments (70 papers) and Dementia and Cognitive Impairment Research (38 papers). Geidy E. Serrano is often cited by papers focused on Alzheimer's disease research and treatments (81 papers), Parkinson's Disease Mechanisms and Treatments (70 papers) and Dementia and Cognitive Impairment Research (38 papers). Geidy E. Serrano collaborates with scholars based in United States, United Kingdom and Sweden. Geidy E. Serrano's co-authors include Thomas G. Beach, Charles H. Adler, Lucia I. Sue, Raymond Dingledine, Douglas G. Walker, Eric M. Reiman, Oskar Hansson, Marwan N. Sabbagh, Holly A. Shill and Brittany N. Dugger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Medicine.

In The Last Decade

Geidy E. Serrano

166 papers receiving 6.4k citations

Hit Papers

Plasma P-tau181 in Alzheimer’s disease: relationship to o... 2020 2026 2022 2024 2020 2023 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Geidy E. Serrano United States 45 2.6k 2.2k 1.8k 1.7k 1.3k 177 6.5k
Annika Öhrfelt Sweden 28 2.5k 1.0× 1.7k 0.8× 1.3k 0.7× 1.1k 0.6× 1.3k 1.0× 40 4.7k
Eizo Iseki Japan 42 2.7k 1.0× 2.4k 1.1× 1.1k 0.6× 1.5k 0.9× 1.1k 0.8× 173 5.3k
Kristel Sleegers Belgium 49 4.2k 1.6× 1.6k 0.7× 2.9k 1.7× 1.4k 0.8× 1.3k 1.0× 135 7.4k
Alberto Lleó Spain 48 4.1k 1.6× 1.8k 0.8× 2.3k 1.3× 1.3k 0.8× 1.6k 1.2× 224 7.6k
Alexander Gerhard United Kingdom 37 1.7k 0.7× 2.2k 1.0× 1.5k 0.8× 2.3k 1.4× 709 0.5× 86 5.8k
Estifanos Ghebremedhin Germany 32 3.3k 1.3× 3.2k 1.5× 1.4k 0.8× 1.6k 0.9× 1.4k 1.1× 59 7.2k
Marc Suárez‐Calvet Spain 37 3.1k 1.2× 914 0.4× 1.2k 0.7× 1.8k 1.1× 1.6k 1.2× 130 5.3k
Carlo Ferrarese Italy 46 1.4k 0.5× 2.1k 1.0× 2.0k 1.1× 1.1k 0.6× 1.0k 0.8× 302 6.7k
Roberta Ghidoni Italy 43 2.6k 1.0× 1.4k 0.6× 1.9k 1.1× 995 0.6× 867 0.7× 158 5.6k
Christine A. F. Von Arnim Germany 46 3.3k 1.3× 1.2k 0.6× 2.2k 1.2× 963 0.6× 923 0.7× 176 6.3k

Countries citing papers authored by Geidy E. Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Geidy E. Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geidy E. Serrano. 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 Geidy E. Serrano. The network helps show where Geidy E. Serrano may publish in the future.

Co-authorship network of co-authors of Geidy E. Serrano

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

All Works

20 of 20 papers shown
1.
Bedrick, Edward J., et al.. (2025). Neurofibrillary tangles predict dementia in patients with carotid stenosis. Journal of Vascular Surgery. 81(6). 1381–1388.e2. 2 indexed citations
3.
4.
Shwab, E. Keats, Melanie E. Garrett, Geidy E. Serrano, et al.. (2025). Comparative mapping of single‐cell transcriptomic landscapes in neurodegenerative diseases. Alzheimer s & Dementia. 21(5). e70012–e70012. 1 indexed citations
5.
Parveen, Sabiha, Parvez Alam, Christina D. Orrú, et al.. (2025). A same day α-synuclein RT-QuIC seed amplification assay for synucleinopathy biospecimens. PubMed. 2(1). 8–8. 4 indexed citations
7.
Adler, Charles H., Nan Zhang, Holly A. Shill, et al.. (2024). Conjugal Synucleinopathies: A Clinicopathologic Study. Movement Disorders. 39(7). 1212–1217. 1 indexed citations
8.
Wang, Qi, Jerry Antone, Eric Alsop, et al.. (2024). Single cell transcriptomes and multiscale networks from persons with and without Alzheimer’s disease. Nature Communications. 15(1). 5815–5815. 8 indexed citations
10.
Gerke, Daniel S., Zarko Manojlovic, Adolfo Sequeira, et al.. (2024). Common mitochondrial deletions in RNA-Seq: evaluation of bulk, single-cell, and spatial transcriptomic datasets. Communications Biology. 7(1). 4 indexed citations
11.
Bedrick, Edward J., et al.. (2024). Serum detection of blood brain barrier injury in subjects with a history of stroke and transient ischemic attack. SHILAP Revista de lepidopterología. 5. 100206–100206. 3 indexed citations
12.
Mastenbroek, Sophie E, Jacob W. Vogel, Lyduine E. Collij, et al.. (2024). Disease progression modelling reveals heterogeneity in trajectories of Lewy-type α-synuclein pathology. Nature Communications. 15(1). 5133–5133. 30 indexed citations
13.
Jasbi, Paniz, Wendy Winslow, Geidy E. Serrano, et al.. (2023). Inflammation and the pathological progression of Alzheimer’s disease are associated with low circulating choline levels. Acta Neuropathologica. 146(4). 565–583. 40 indexed citations
14.
Hartlage‐Rübsamen, Maike, Isabel Hilbrich, Max Holzer, et al.. (2021). A glutaminyl cyclase-catalyzed α-synuclein modification identified in human synucleinopathies. Acta Neuropathologica. 142(3). 399–421. 19 indexed citations
15.
Sekar, Shobana, Philipp Geiger, Jonathan Adkins, et al.. (2020). ACValidator: A novel assembly-based approach for in silico verification of circular RNAs. Biology Methods and Protocols. 5(1). bpaa010–bpaa010. 4 indexed citations
16.
Wingo, Aliza P., Eric B. Dammer, Michael S. Breen, et al.. (2019). Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age. Nature Communications. 10(1). 1619–1619. 128 indexed citations
17.
Roher, Alex E., Tyler A. Kokjohn, Steven Clarke, et al.. (2017). APP/Aβ structural diversity and Alzheimer's disease pathogenesis. Neurochemistry International. 110. 1–13. 80 indexed citations
18.
Piras, Ignazio S., Isabelle Schrauwen, Jason J. Corneveaux, et al.. (2017). Whole transcriptome profiling of the human hippocampus suggests an involvement of the KIBRA rs17070145 polymorphism in differential activation of the MAPK signaling pathway. Hippocampus. 27(7). 784–793. 21 indexed citations
19.
Roher, Alex E., Chera L. Maarouf, Tyler A. Kokjohn, et al.. (2016). Chemical and neuropathological analyses of an Alzheimer's disease patient treated with solanezumab.. PubMed Central. 5(4). 158–170. 12 indexed citations
20.
Iacono, Diego, Marcie Rabin, Charles H. Adler, et al.. (2015). Parkinson disease and incidental Lewy body disease. Neurology. 85(19). 1670–1679. 86 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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