Prajwal Ciryam

2.1k total citations
27 papers, 1.5k citations indexed

About

Prajwal Ciryam is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Prajwal Ciryam has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Neurology and 7 papers in Physiology. Recurrent topics in Prajwal Ciryam's work include Alzheimer's disease research and treatments (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (6 papers). Prajwal Ciryam is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (6 papers). Prajwal Ciryam collaborates with scholars based in United States, United Kingdom and Germany. Prajwal Ciryam's co-authors include Michele Vendruscolo, Richard I. Morimoto, Christopher M. Dobson, Rishika Kundra, Gian Gaetano Tartaglia, Giulia Vecchi, Christopher M. Dobson, Edward P. O’Brien, Prasad Kasturi and Stefan Pinkert and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Accounts of Chemical Research.

In The Last Decade

Prajwal Ciryam

23 papers receiving 1.5k citations

Peers

Prajwal Ciryam

PHYSI

AGING

NEURO

Carmen Nussbaum‐Krammer Germany

Peter M. Douglas United States

Tali Gidalevitz United States

Martin Gamerdinger Germany

Sae-Hun Park Germany

Bhupinder Bhullar United States

Michael J. Palladino United States

Kensuke Ikenaka Japan

Daniel W. Summers United States

Nobuhiro Fujikake Japan

Carmen Nussbaum‐Krammer Germany

Prajwal Ciryam

879 ×0.8

428 ×1.0

PHYSI

325 ×1.2

186 ×0.8

AGING

224 ×1.0

NEURO

Citations per year, relative to Prajwal Ciryam Prajwal Ciryam (= 1×) peers Carmen Nussbaum‐Krammer

Countries citing papers authored by Prajwal Ciryam

Since Specialization

Citations

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

Fields of papers citing papers by Prajwal Ciryam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prajwal Ciryam

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

All Works

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20 of 20 papers shown

Simard, J. Marc, Natalya Tsymbalyuk, Jesse A. Stokum, et al.. (2024). Brain Swelling versus Infarct Size: A Problematizing Review. Brain Sciences. 14(3). 229–229.

Kardon, Adam, Matthew Jaffa, Michael Armahizer, et al.. (2024). A Propensity Score–Weighted Analysis of Short-Term Corticosteroid Therapy for Refractory Pain Following Spontaneous Subarachnoid Hemorrhage. Neurocritical Care. 42(3). 920–928. 1 indexed citations

Kardon, Adam, Prajwal Ciryam, Jamie Podell, et al.. (2024). Comparison of induction agents for rapid sequence intubation in refractory status epilepticus: A single-center retrospective analysis. Epilepsy & Behavior Reports. 25. 100645–100645.

Wells, Chris, Nicholas A. Morris, Prajwal Ciryam, et al.. (2024). Behavioral Assessment With the Coma Recovery Scale—Revised Is Safe and Feasible in Critically Ill Patients With Disorders of Consciousness. Critical Care Explorations. 6(7). e1101–e1101.

Simard, J. Marc, Çiğdem Tosun, Orest Tsymbalyuk, et al.. (2024). A Mouse Model of Temporal Lobe Contusion. Journal of Neurotrauma. 42(1-2). 143–160.

Ciryam, Prajwal, Volodymyr Gerzanich, & J. Marc Simard. (2023). Interleukin-6 in Traumatic Brain Injury: A Janus-Faced Player in Damage and Repair. Journal of Neurotrauma. 40(21-22). 2249–2269. 18 indexed citations

Ahmed, Nabeel, Ulrike Friedrich, Pietro Sormanni, et al.. (2020). Pairs of amino acids at the P- and A-sites of the ribosome predictably and causally modulate translation-elongation rates. Journal of Molecular Biology. 432(24). 166696–166696. 11 indexed citations

Ahmed, Nabeel, Pietro Sormanni, Prajwal Ciryam, et al.. (2019). Identifying A- and P-site locations on ribosome-protected mRNA fragments using Integer Programming. Scientific Reports. 9(1). 6256–6256. 14 indexed citations

Ciryam, Prajwal, Matthew Antalek, Fernando Maureira Cid, et al.. (2019). A metastable subproteome underlies inclusion formation in muscle proteinopathies. Acta Neuropathologica Communications. 7(1). 197–197. 19 indexed citations

10.

Yerbury, Justin J., Lezanne Ooi, Ian P. Blair, et al.. (2019). The metastability of the proteome of spinal motor neurons underlies their selective vulnerability in ALS. Neuroscience Letters. 704. 89–94. 22 indexed citations

11.

Freer, Rosie, Pietro Sormanni, Prajwal Ciryam, et al.. (2019). Supersaturated proteins are enriched at synapses and underlie cell and tissue vulnerability in Alzheimer's disease. Heliyon. 5(11). e02589–e02589. 21 indexed citations

12.

Sharma, Ajeet K., Pietro Sormanni, Nabeel Ahmed, et al.. (2019). A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data. PLoS Computational Biology. 15(5). e1007070–e1007070. 44 indexed citations

13.

Radmard, Sara, Prajwal Ciryam, Alexandra Boubour, et al.. (2019). Clinical Utilization of the FilmArray Meningitis/Encephalitis (ME) Multiplex Polymerase Chain Reaction (PCR) Assay. Frontiers in Neurology. 10. 71 indexed citations

14.

Farrawell, Natalie E., Kristen A. Mitchell, Luke McAlary, et al.. (2018). SOD1A4V aggregation alters ubiquitin homeostasis in a cell model of ALS. Journal of Cell Science. 131(11). 40 indexed citations

15.

Ciryam, Prajwal, Daniel Bean, Rosie Freer, et al.. (2017). Spinal motor neuron protein supersaturation patterns are associated with inclusion body formation in ALS. Proceedings of the National Academy of Sciences. 114(20). E3935–E3943. 89 indexed citations

16.

Ciryam, Prajwal, Rishika Kundra, Richard I. Morimoto, Christopher M. Dobson, & Michele Vendruscolo. (2015). Supersaturation is a major driving force for protein aggregation in neurodegenerative diseases. Trends in Pharmacological Sciences. 36(2). 72–77. 136 indexed citations

17.

Walther, Dirk, Prasad Kasturi, Min Zheng, et al.. (2015). Widespread Proteome Remodeling and Aggregation in Aging C. elegans. Cell. 161(4). 919–932. 428 indexed citations

18.

Ciryam, Prajwal, Gian Gaetano Tartaglia, Richard I. Morimoto, et al.. (2014). Proteome Metastability in Health, Aging, and Disease. Biophysical Journal. 106(2). 59a–59a. 1 indexed citations

19.

Ciryam, Prajwal, Gian Gaetano Tartaglia, Richard I. Morimoto, Christopher M. Dobson, & Michele Vendruscolo. (2013). Widespread Aggregation and Neurodegenerative Diseases Are Associated with Supersaturated Proteins. Cell Reports. 5(3). 781–790. 224 indexed citations

20.

Ciryam, Prajwal, Richard I. Morimoto, Michele Vendruscolo, Christopher M. Dobson, & Edward P. O’Brien. (2013). In Vivo Translation Rates Can Substantially Delay the Co-Translational Folding of the E. Coli Cytosolic Proteome. Biophysical Journal. 104(2). 578a–578a. 1 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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