Manisha Sachan

728 total citations
32 papers, 507 citations indexed

About

Manisha Sachan is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Manisha Sachan has authored 32 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Manisha Sachan's work include Epigenetics and DNA Methylation (16 papers), Cancer-related molecular mechanisms research (11 papers) and Cancer-related gene regulation (9 papers). Manisha Sachan is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Cancer-related molecular mechanisms research (11 papers) and Cancer-related gene regulation (9 papers). Manisha Sachan collaborates with scholars based in India, Luxembourg and United States. Manisha Sachan's co-authors include B. P. Bhatt, Alka Singh, Sameer Gupta, Sameer Gupta, Seema Nara, P. Tripathi, Anand Kumar, Rajiva Raman, Kiran Singh and Meenal Rastogi and has published in prestigious journals such as Scientific Reports, Clinical Cancer Research and Energy Policy.

In The Last Decade

Manisha Sachan

32 papers receiving 488 citations

Peers

Manisha Sachan

POLLU

Maria Giuseppa Grollino Italy

Xiaohua Zhou China

Chunmei Liu China

Meng Zhou China

Tao Yue China

Shumin Zhou China

Guiying Jiang China

Xiaoming Teng China

Mengxi Chen China

Zhenzhen Tang China

Maria Giuseppa Grollino Italy

Manisha Sachan

83 ×0.3

65 ×0.4

21 ×0.3

POLLU

96 ×1.6

28 ×0.5

Citations per year, relative to Manisha Sachan Manisha Sachan (= 1×) peers Maria Giuseppa Grollino

Countries citing papers authored by Manisha Sachan

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Sachan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Sachan

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Sachan. A scholar is included among the top collaborators of Manisha Sachan 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 Sachan. Manisha Sachan 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

Sachan, Manisha, et al.. (2025). SOXs: Master architects of development and versatile emulators of oncogenesis. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1880(2). 189295–189295. 1 indexed citations

Singh, Sakshi, et al.. (2024). Regulation of m6A (N6-Methyladenosine) methylation modifiers in solid cancers. Functional & Integrative Genomics. 24(6). 193–193. 3 indexed citations

Pandey, Ashok, et al.. (2023). Diagnostics and Therapeutic Potential of miR-205 and miR-34a in Ovarian Cancer Management: A miRNA-Target-Based Analysis. DNA and Cell Biology. 42(3). 151–162. 3 indexed citations

Gupta, Sameer, et al.. (2023). Genome-wide expression profiling reveals novel biomarkers in epithelial ovarian cancer. Pathology - Research and Practice. 251. 154840–154840. 1 indexed citations

Bisht, Deepa, et al.. (2022). Role of DNA De-methylation intermediate ‘5-hydroxymethylcytosine’ in ovarian cancer management: A comprehensive review. Biomedicine & Pharmacotherapy. 155. 113674–113674. 8 indexed citations

Singh, Manish Pratap, S. Rai, Alka Singh, et al.. (2022). Investigation of BRCA1 methylation and FAT3 mutation as a potential biomarker in ovarian cancer samples. Human Gene. 33. 201032–201032. 2 indexed citations

Gupta, Sameer, et al.. (2021). Evaluation of Diagnostic Potential of Epigenetically Deregulated MiRNAs in Epithelial Ovarian Cancer. Frontiers in Oncology. 11. 681872–681872. 10 indexed citations

Singh, Mithilesh, P. Tripathi, Smriti Singh, et al.. (2021). Identification and characterization of DNA aptamers specific to VP2 protein of canine parvovirus. Applied Microbiology and Biotechnology. 105(23). 8895–8906. 7 indexed citations

Singh, Alka, Sameer Gupta, & Manisha Sachan. (2021). Evaluation of the Diagnostic Potential of Candidate Hypermethylated Genes in Epithelial Ovarian Cancer in North Indian Population. Frontiers in Molecular Biosciences. 8. 719056–719056. 11 indexed citations

10.

Gupta, Sameer, et al.. (2020). microRNA as Biomarker in Ovarian Cancer Management: Advantages and Challenges. DNA and Cell Biology. 39(12). 2103–2124. 13 indexed citations

11.

Singh, Swati, Manisha Sachan, Gea Guerriero, et al.. (2020). Silicon tackles butachlor toxicity in rice seedlings by regulating anatomical characteristics, ascorbate-glutathione cycle, proline metabolism and levels of nutrients. Scientific Reports. 10(1). 14078–14078. 36 indexed citations

12.

Tripathi, P., Manisha Sachan, & Seema Nara. (2020). Novel ssDNA Ligand Against Ovarian Cancer Biomarker CA125 With Promising Diagnostic Potential. Frontiers in Chemistry. 8. 400–400. 18 indexed citations

13.

Tripathi, P., Anand Kumar, Manisha Sachan, Sameer Gupta, & Seema Nara. (2020). Aptamer-gold nanozyme based competitive lateral flow assay for rapid detection of CA125 in human serum. Biosensors and Bioelectronics. 165. 112368–112368. 65 indexed citations

14.

Singh, Alka, et al.. (2020). Detection of aberrant methylation of HOXA9 and HIC1 through multiplex MethyLight assay in serum DNA for the early detection of epithelial ovarian cancer. International Journal of Cancer. 147(6). 1740–1752. 50 indexed citations

15.

Singh, Alka, Sameer Gupta, & Manisha Sachan. (2019). Epigenetic Biomarkers in the Management of Ovarian Cancer: Current Prospectives. Frontiers in Cell and Developmental Biology. 7. 182–182. 51 indexed citations

16.

Singh, Kiran, et al.. (2017). High resolution methylation analysis of the HoxA5 regulatory region in different somatic tissues of laboratory mouse during development. Gene Expression Patterns. 23-24. 59–69. 5 indexed citations

17.

Singh, Kiran, et al.. (2017). Heterogeneous pattern of DNA methylation in developmentally important genes correlates with its chromatin conformation. BMC Molecular Biology. 18(1). 1–1. 13 indexed citations

18.

Nara, Seema, et al.. (2014). Study of promoter DNA methylation of Sox11 and its correlation with tissue-specific expression in the laboratory mouse. Gene. 552(1). 133–139. 10 indexed citations

19.

Sachan, Manisha & Rajiva Raman. (2008). Developmental methylation of the coding region of c-fos occurs perinatally, stepwise and sequentially in the liver of laboratory mouse. Gene. 416(1-2). 22–29. 5 indexed citations

20.

Sachan, Manisha & Rajiva Raman. (2006). Developmental methylation of the regulatory region of HoxB5 gene in mouse correlates with its tissue-specific expression. Gene. 380(2). 151–158. 10 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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