Manasi Malik

787 total citations
10 papers, 501 citations indexed

About

Manasi Malik is a scholar working on Molecular Biology, Social Psychology and Physiology. According to data from OpenAlex, Manasi Malik has authored 10 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Social Psychology and 3 papers in Physiology. Recurrent topics in Manasi Malik's work include Neuroendocrine regulation and behavior (5 papers), Reproductive System and Pregnancy (2 papers) and Alzheimer's disease research and treatments (2 papers). Manasi Malik is often cited by papers focused on Neuroendocrine regulation and behavior (5 papers), Reproductive System and Pregnancy (2 papers) and Alzheimer's disease research and treatments (2 papers). Manasi Malik collaborates with scholars based in United States and Czechia. Manasi Malik's co-authors include Steven Estus, Ishita Parikh, David W. Fardo, James F. Simpson, Bernard R. Wilfred, Peter T. Nelson, Leon M. Tai, Mary Jo LaDu, Sarah K. England and Michelle E. Roh and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Human Molecular Genetics.

In The Last Decade

Manasi Malik

9 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manasi Malik United States	8	219	219	196	139	58	10	501
Ekaterina Aladyeva United States	5	231 1.1×	217 1.0×	182 0.9×	155 1.1×	88 1.5×	8	577
Dan Swartzlander United States	6	286 1.3×	222 1.0×	188 1.0×	106 0.8×	42 0.7×	8	515
Tianwen Gao United States	9	389 1.8×	281 1.3×	197 1.0×	251 1.8×	90 1.6×	10	704
Ursula Püntener United Kingdom	7	257 1.2×	179 0.8×	302 1.5×	183 1.3×	103 1.8×	7	738
Hidenori Homma Japan	12	167 0.8×	201 0.9×	352 1.8×	114 0.8×	29 0.5×	27	667
Yuhan Yan China	7	130 0.6×	137 0.6×	164 0.8×	59 0.4×	41 0.7×	25	407
Simon Hsu United States	8	185 0.8×	187 0.9×	158 0.8×	135 1.0×	22 0.4×	12	448
Ruying Fu China	4	417 1.9×	149 0.7×	159 0.8×	195 1.4×	42 0.7×	6	625
María Martín‐Estebané Spain	10	290 1.3×	141 0.6×	120 0.6×	131 0.9×	42 0.7×	14	448
Leah Zuroff United States	9	161 0.7×	157 0.7×	84 0.4×	65 0.5×	42 0.7×	15	373

Countries citing papers authored by Manasi Malik

Since Specialization

Citations

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

Fields of papers citing papers by Manasi Malik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manasi Malik

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Malik, Manasi, et al.. (2024). Quantification of surface-localized and total oxytocin receptor in myometrial smooth muscle cells. Heliyon. 10(4). e25761–e25761.

2.

Malik, Manasi, et al.. (2022). Pharmacological chaperones for the oxytocin receptor increase oxytocin responsiveness in myometrial cells. Journal of Biological Chemistry. 298(3). 101646–101646. 7 indexed citations

3.

Malik, Manasi, et al.. (2022). Absolute Quantification of Plasma Membrane Receptors Via Quantitative Flow Cytometry. Methods in molecular biology. 2475. 61–77. 7 indexed citations

4.

Malik, Manasi, Michael D. Ward, Justin R. Porter, et al.. (2021). Naturally Occurring Genetic Variants in the Oxytocin Receptor Alter Receptor Signaling Profiles. ACS Pharmacology & Translational Science. 4(5). 1543–1555. 7 indexed citations

5.

Malik, Manasi, Michelle E. Roh, & Sarah K. England. (2020). Uterine contractions in rodent models and humans. Acta Physiologica. 231(4). e13607–e13607. 37 indexed citations

6.

Parikh, Ishita, Manasi Malik, Leon M. Tai, et al.. (2020). Murine Gut Microbiome Association With APOE Alleles. Frontiers in Immunology. 11. 200–200. 43 indexed citations

7.

Ma, Xiaofeng, Peinan Zhao, Manasi Malik, et al.. (2019). Microelectrode array analysis of mouse uterine smooth muscle electrical activity†. Biology of Reproduction. 102(4). 935–942. 6 indexed citations

8.

Malik, Manasi, Ishita Parikh, Jared B. Vasquez, et al.. (2015). Genetics ignite focus on microglial inflammation in Alzheimer’s disease. Molecular Neurodegeneration. 10(1). 52–52. 127 indexed citations

9.

Malik, Manasi, J.W. Chiles, Hualin Simon Xi, et al.. (2015). Genetics of CD33 in Alzheimer's disease and acute myeloid leukemia. Human Molecular Genetics. 24(12). 3557–3570. 64 indexed citations

10.

Malik, Manasi, James F. Simpson, Ishita Parikh, et al.. (2013). CD33 Alzheimer's Risk-Altering Polymorphism, CD33 Expression, and Exon 2 Splicing. Journal of Neuroscience. 33(33). 13320–13325. 203 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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