Abhisek Mukherjee

2.0k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

Abhisek Mukherjee is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Abhisek Mukherjee has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Neurology. Recurrent topics in Abhisek Mukherjee's work include Alzheimer's disease research and treatments (8 papers), Prion Diseases and Protein Misfolding (7 papers) and Neurological diseases and metabolism (5 papers). Abhisek Mukherjee is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Prion Diseases and Protein Misfolding (7 papers) and Neurological diseases and metabolism (5 papers). Abhisek Mukherjee collaborates with scholars based in United States, Chile and Mexico. Abhisek Mukherjee's co-authors include Claudio Soto, Diego Morales‐Scheihing, Peter C. Butler, Mohammad Shahnawaz, Karina Cuanalo-Contreras, Nicolás Méndez, Bo Hu, K. Peter R. Nilsson, Xiangan Liu and Ann M. Schmeichel and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Abhisek Mukherjee

25 papers receiving 1.4k citations

Hit Papers

Discriminating α-synuclein strains in Parkinson’s disease... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhisek Mukherjee United States 14 683 514 495 264 208 25 1.4k
Eun Hee Ahn South Korea 27 840 1.2× 501 1.0× 359 0.7× 237 0.9× 453 2.2× 54 1.8k
Derrick E. Johnson United States 9 716 1.0× 599 1.2× 359 0.7× 430 1.6× 297 1.4× 20 1.6k
C. Thong United States 18 615 0.9× 344 0.7× 419 0.8× 173 0.7× 374 1.8× 27 1.4k
Saurav Brahmachari United States 20 669 1.0× 349 0.7× 628 1.3× 402 1.5× 463 2.2× 23 1.8k
Marthe H. R. Ludtmann United Kingdom 18 1.1k 1.6× 581 1.1× 655 1.3× 176 0.7× 474 2.3× 21 1.9k
Cristina Caballero Spain 14 499 0.7× 622 1.2× 331 0.7× 381 1.4× 313 1.5× 34 1.5k
Mineo Yamazaki Japan 25 572 0.8× 591 1.1× 722 1.5× 364 1.4× 298 1.4× 87 1.7k
Sangjune Kim South Korea 15 602 0.9× 442 0.9× 871 1.8× 288 1.1× 379 1.8× 37 1.6k
Dominique Langui France 20 680 1.0× 1.0k 2.0× 335 0.7× 316 1.2× 453 2.2× 37 1.8k
Sakina Torch France 15 652 1.0× 207 0.4× 595 1.2× 207 0.8× 561 2.7× 26 1.7k

Countries citing papers authored by Abhisek Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Abhisek Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhisek Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Abhisek Mukherjee. A scholar is included among the top collaborators of Abhisek Mukherjee 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 Abhisek Mukherjee. Abhisek Mukherjee 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.
Cuanalo-Contreras, Karina, Jonathan E. Schulz, Abhisek Mukherjee, et al.. (2023). Extensive accumulation of misfolded protein aggregates during natural aging and senescence. Frontiers in Aging Neuroscience. 14. 1090109–1090109. 48 indexed citations
2.
Becerra-Calixto, Andrea, et al.. (2023). Lewy Body-like Pathology and Loss of Dopaminergic Neurons in Midbrain Organoids Derived from Familial Parkinson’s Disease Patient. Cells. 12(4). 625–625. 26 indexed citations
3.
Mukherjee, Abhisek, Mark E. Corkins, Sourav Samanta, et al.. (2022). Identification of Multicolor Fluorescent Probes for Heterogeneous Aβ Deposits in Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 802614–802614. 6 indexed citations
4.
Mukherjee, Abhisek, Karina Cuanalo-Contreras, Abha Sood, & Claudio Soto. (2022). Development of a novel pharmacophore model to screen specific inhibitors for the serine-threonine protein phosphatase calcineurin. Biochemistry and Biophysics Reports. 31. 101311–101311. 2 indexed citations
5.
Ramírez, Santiago, et al.. (2021). Protocol for controlled cortical impact in human cerebral organoids to model traumatic brain injury. STAR Protocols. 2(4). 100987–100987. 11 indexed citations
6.
Mukherjee, Abhisek, et al.. (2021). Tau deletion or loss of function promotes peripheral insulin resistance. Alzheimer s & Dementia. 17(S3). 1 indexed citations
8.
Mukherjee, Abhisek, et al.. (2020). Tau deletion promotes peripheral insulin resistance. Alzheimer s & Dementia. 16(S3). 1 indexed citations
9.
Shahnawaz, Mohammad, Abhisek Mukherjee, Sandra Pritzkow, et al.. (2020). Discriminating α-synuclein strains in Parkinson’s disease and multiple system atrophy. Nature. 578(7794). 273–277. 535 indexed citations breakdown →
10.
Shahnawaz, Mohammad, Kyung‐Won Park, Abhisek Mukherjee, Rodrigo Díaz‐Espinoza, & Claudio Soto. (2017). Prion-like characteristics of the bacterial protein Microcin E492. Scientific Reports. 7(1). 45720–45720. 25 indexed citations
11.
Mukherjee, Abhisek & Claudio Soto. (2017). Prion-Like Protein Aggregates and Type 2 Diabetes. Cold Spring Harbor Perspectives in Medicine. 7(5). a024315–a024315. 35 indexed citations
12.
Mukherjee, Abhisek, Diego Morales‐Scheihing, Peter C. Butler, & Claudio Soto. (2015). Type 2 diabetes as a protein misfolding disease. Trends in Molecular Medicine. 21(7). 439–449. 268 indexed citations
13.
Mukherjee, Abhisek, et al.. (2015). Development of a Fluorescent Quenching Based High Throughput Assay to Screen for Calcineurin Inhibitors. PLoS ONE. 10(7). e0131297–e0131297. 3 indexed citations
14.
Barria, Marcelo A., Abhisek Mukherjee, Dennisse Gonzalez-Romero, Rodrigo Morales, & Claudio Soto. (2013). Correction: De Novo Generation of Infectious Prions In Vitro Produces a New Disease Phenotype. PLoS Pathogens. 9(3). 1 indexed citations
15.
Mukherjee, Abhisek, et al.. (2013). Extruded segmented sensor for road traffic classification. 1–5. 2 indexed citations
16.
Díaz‐Espinoza, Rodrigo, Abhisek Mukherjee, & Claudio Soto. (2012). Kosmotropic Anions Promote Conversion of Recombinant Prion Protein into a PrPSc-Like Misfolded Form. PLoS ONE. 7(2). e31678–e31678. 13 indexed citations
17.
Mukherjee, Abhisek. (2012). Case study of islanded microgrid control. 1 indexed citations
18.
Mukherjee, Abhisek & Claudio Soto. (2011). Role of calcineurin in neurodegeneration produced by misfolded proteins and endoplasmic reticulum stress. Current Opinion in Cell Biology. 23(2). 223–230. 59 indexed citations
19.
Mukherjee, Abhisek, et al.. (2010). Calcineurin Inhibition at the Clinical Phase of Prion Disease Reduces Neurodegeneration, Improves Behavioral Alterations and Increases Animal Survival. PLoS Pathogens. 6(10). e1001138–e1001138. 43 indexed citations
20.
Barria, Marcelo A., Abhisek Mukherjee, Dennisse Gonzalez-Romero, Rodrigo Morales, & Claudio Soto. (2009). De Novo Generation of Infectious Prions In Vitro Produces a New Disease Phenotype. PLoS Pathogens. 5(5). e1000421–e1000421. 93 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026