Manisha Pradhan

1.4k total citations
17 papers, 706 citations indexed

About

Manisha Pradhan is a scholar working on Genetics, Infectious Diseases and Surgery. According to data from OpenAlex, Manisha Pradhan has authored 17 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Infectious Diseases and 5 papers in Surgery. Recurrent topics in Manisha Pradhan's work include SARS-CoV-2 and COVID-19 Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Manisha Pradhan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Manisha Pradhan collaborates with scholars based in United States, Czechia and China. Manisha Pradhan's co-authors include Wei Zheng, Miao Xu, Catherine Z. Chen, Guo‐li Ming, Feng Zhang, Fadi Jacob, Samuel Zheng Hao Wong, Hongjun Song, Wenqiang Fan and Daniel Y. Zhang and has published in prestigious journals such as ACS Nano, PLoS ONE and Cell stem cell.

In The Last Decade

Manisha Pradhan

16 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manisha Pradhan United States 7 362 216 161 100 60 17 706
Mariah Leidinger United States 13 329 0.9× 264 1.2× 198 1.2× 31 0.3× 89 1.5× 23 994
Jakob Kreye Germany 12 369 1.0× 200 0.9× 477 3.0× 22 0.2× 59 1.0× 29 846
Walter Mancia United States 6 247 0.7× 555 2.6× 57 0.4× 87 0.9× 101 1.7× 9 1.0k
Shawn P. Kubli Canada 7 152 0.4× 222 1.0× 59 0.4× 99 1.0× 39 0.7× 8 702
Corri B. Levine United States 12 186 0.5× 390 1.8× 59 0.4× 51 0.5× 68 1.1× 32 869
Pranesh Padmanabhan Australia 15 165 0.5× 233 1.1× 30 0.2× 60 0.6× 45 0.8× 31 641
Juliana Terzi Maricato Brazil 16 179 0.5× 216 1.0× 40 0.2× 71 0.7× 113 1.9× 37 723
Tetyana P. Buzhdygan United States 9 220 0.6× 277 1.3× 217 1.3× 55 0.6× 47 0.8× 11 753
Evan Lester United States 8 501 1.4× 458 2.1× 105 0.7× 245 2.5× 65 1.1× 11 982
Alexander Krüttgen Germany 20 322 0.9× 383 1.8× 59 0.4× 144 1.4× 127 2.1× 34 1.1k

Countries citing papers authored by Manisha Pradhan

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Pradhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Pradhan

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

All Works

17 of 17 papers shown
1.
Tambe, Mitali A., et al.. (2023). In depth characterization of midbrain organoids derived from wild type iPSC lines. PLoS ONE. 18(10). e0292926–e0292926. 5 indexed citations
2.
Peters, Diane E., Lukáš Tenora, Xiaolei Zhu, et al.. (2023). A gut-restricted glutamate carboxypeptidase II inhibitor reduces monocytic inflammation and improves preclinical colitis. Science Translational Medicine. 15(708). eabn7491–eabn7491. 9 indexed citations
3.
Tambe, Mitali A., Ha Nam Nguyen, Miao Xu, et al.. (2023). Generation and characterization of NGLY1 patient-derived midbrain organoids. Frontiers in Cell and Developmental Biology. 11. 1039182–1039182. 12 indexed citations
4.
Pradhan, Manisha, et al.. (2022). KNOWLEDGE AND BELIEF OF MALE POPULATION TOWARDS MENSTRUATION. International Journal of Advanced Research. 10(10). 820–824. 1 indexed citations
5.
Xu, Miao, Manisha Pradhan, Kirill Gorshkov, et al.. (2022). A high throughput screening assay for inhibitors of SARS-CoV-2 pseudotyped particle entry. SLAS DISCOVERY. 27(2). 86–94. 14 indexed citations
6.
Hays, Tristan T., Nesar Akanda, John W. Rumsey, et al.. (2022). An Induced Pluripotent Stem Cell‐Derived Neuromuscular Junction Platform for Study of the NGLY1‐Congenital Disorder of Deglycosylation. Advanced Therapeutics. 5(11). 1 indexed citations
7.
Pradhan, Manisha, Yu‐Shan Cheng, Miao Xu, et al.. (2021). An induced pluripotent stem cell line (NCATS-CL9075) from a patient carrying compound heterozygote mutations, p.R390P and p.L318P, in the NGLY1 gene. Stem Cell Research. 54. 102400–102400.
8.
Pradhan, Manisha, Yu‐Shan Cheng, Kirill Gorshkov, et al.. (2021). Generation of an induced pluripotent stem cell line (TRNDi031-A) from a patient with Alagille syndrome type 1 carrying a heterozygous p. C312X (c. 936 T > A) mutation in JAGGED-1. Stem Cell Research. 54. 102447–102447. 3 indexed citations
9.
Gorshkov, Kirill, Kimihiro Susumu, Jiji Chen, et al.. (2020). Quantum Dot-Conjugated SARS-CoV-2 Spike Pseudo-Virions Enable Tracking of Angiotensin Converting Enzyme 2 Binding and Endocytosis. ACS Nano. 14(9). 12234–12247. 80 indexed citations
10.
Zhang, Qi, Manju Swaroop, Miao Xu, et al.. (2020). Heparan sulfate assists SARS-CoV-2 in cell entry and can be targeted by approved drugs in vitro. Cell Discovery. 6(1). 80–80. 161 indexed citations
11.
Jacob, Fadi, Sarshan R. Pather, Wei‐Kai Huang, et al.. (2020). Human Pluripotent Stem Cell-Derived Neural Cells and Brain Organoids Reveal SARS-CoV-2 Neurotropism Predominates in Choroid Plexus Epithelium. Cell stem cell. 27(6). 937–950.e9. 317 indexed citations
12.
Gorshkov, Kirill, Manisha Pradhan, Miao Xu, et al.. (2020). Cell-Based No-Wash Fluorescence Assays for Compound Screens Using a Fluorescence Cytometry Plate Reader. Journal of Pharmacology and Experimental Therapeutics. 374(3). 500–511. 2 indexed citations
13.
Xu, Xiaogang, Manisha Pradhan, Miao Xu, et al.. (2020). Four induced pluripotent stem cell lines (TRNDi021-C, TRNDi023-D, TRNDi024-D and TRNDi025-A) generated from fibroblasts of four healthy individuals. Stem Cell Research. 49. 102011–102011. 3 indexed citations
14.
Li, Rong, Manisha Pradhan, Miao Xu, et al.. (2020). An induced pluripotent stem cell line (TRNDi001-D) from a Niemann-Pick disease type C1 (NPC1) patient carrying a homozygous p. I1061T (c. 3182T>C) mutation in the NPC1 gene. Stem Cell Research. 44. 101737–101737. 4 indexed citations
15.
Chen, Catherine Z., Miao Xu, Manisha Pradhan, et al.. (2020). Identifying SARS-CoV-2 Entry Inhibitors through Drug Repurposing Screens of SARS-S and MERS-S Pseudotyped Particles. ACS Pharmacology & Translational Science. 3(6). 1165–1175. 85 indexed citations
16.
Yang, Shu, Yu‐Shan Cheng, Rong Li, et al.. (2019). An induced pluripotent stem cell line (TRNDi010-C) from a patient carrying a homozygous p.R401X mutation in the NGLY1 gene. Stem Cell Research. 39. 101496–101496. 3 indexed citations
17.
Li, Rong, Manisha Pradhan, Miao Xu, et al.. (2018). Generation of an induced pluripotent stem cell line (TRNDi002-B) from a patient carrying compound heterozygous p.Q208X and p.G310G mutations in the NGLY1 gene. Stem Cell Research. 34. 101362–101362. 6 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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