Surbhi Jain

1.8k total citations
54 papers, 1.2k citations indexed

About

Surbhi Jain is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Surbhi Jain has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Surbhi Jain's work include Cancer Genomics and Diagnostics (12 papers), Hepatitis B Virus Studies (9 papers) and CRISPR and Genetic Engineering (8 papers). Surbhi Jain is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Hepatitis B Virus Studies (9 papers) and CRISPR and Genetic Engineering (8 papers). Surbhi Jain collaborates with scholars based in United States, India and Taiwan. Surbhi Jain's co-authors include Ying‐Hsiu Su, Wei Song, Selena Y. Lin, Yaying Ji, Robert J. Davis, Huimin Zhao, Michael V. Autieri, Sheri Kelemen, Timothy M. Block and Christopher W. Jones and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Surbhi Jain

52 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Surbhi Jain United States 23 542 211 207 195 156 54 1.2k
Xiangjun Meng China 20 781 1.4× 290 1.4× 384 1.9× 175 0.9× 126 0.8× 41 1.4k
Alessandro Canella Italy 21 607 1.1× 184 0.9× 273 1.3× 190 1.0× 113 0.7× 52 1.2k
Hsin‐Ell Wang Taiwan 16 336 0.6× 87 0.4× 145 0.7× 89 0.5× 41 0.3× 37 940
Bo Hu China 20 1.8k 3.4× 363 1.7× 179 0.9× 95 0.5× 97 0.6× 88 2.6k
Jaiwoo Lee South Korea 15 436 0.8× 41 0.2× 94 0.5× 99 0.5× 100 0.6× 39 1.2k
Yongkang Gai China 25 624 1.2× 333 1.6× 508 2.5× 81 0.4× 75 0.5× 96 1.8k
Yujie Shi China 23 799 1.5× 169 0.8× 220 1.1× 242 1.2× 51 0.3× 66 1.7k
Chong Ma China 20 466 0.9× 235 1.1× 197 1.0× 30 0.2× 88 0.6× 54 1.2k
Jurstine Daruwalla Australia 11 441 0.8× 111 0.5× 169 0.8× 127 0.7× 37 0.2× 17 1.3k
Masazumi Eriguchi Japan 22 608 1.1× 87 0.4× 421 2.0× 164 0.8× 50 0.3× 83 1.9k

Countries citing papers authored by Surbhi Jain

Since Specialization
Citations

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

Fields of papers citing papers by Surbhi Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Surbhi Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Surbhi Jain. A scholar is included among the top collaborators of Surbhi Jain 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 Surbhi Jain. Surbhi Jain 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.
Wei, Xiaolong, Lucas Carter, Jiekun Yang, et al.. (2024). Depletion of lamins B1 and B2 promotes chromatin mobility and induces differential gene expression by a mesoscale-motion-dependent mechanism. Genome biology. 25(1). 77–77. 16 indexed citations
2.
Frederick, Jane, et al.. (2024). Formamide denaturation of double-stranded DNA for fluorescence in situ hybridization (FISH) distorts nanoscale chromatin structure. PLoS ONE. 19(5). e0301000–e0301000. 4 indexed citations
3.
Jain, Surbhi, et al.. (2022). Metabolic Pathways of Leishmania Parasite: Source of Pertinent Drug Targets and Potent Drug Candidates. Pharmaceutics. 14(8). 1590–1590. 26 indexed citations
4.
Jain, Surbhi, Meng Zhang, Zia Fatma, et al.. (2021). TALEN outperforms Cas9 in editing heterochromatin target sites. Nature Communications. 12(1). 606–606. 69 indexed citations
5.
Jain, Surbhi, et al.. (2021). Precise Regulation of Cas9-Mediated Genome Engineering by Anti-CRISPR-Based Inducible CRISPR Controllers. ACS Synthetic Biology. 10(6). 1320–1327. 14 indexed citations
6.
Jain, Surbhi, et al.. (2020). Development, evaluation and effect of anionic co-ligand on the biological activity of benzothiazole derived copper(II) complexes. Journal of Inorganic Biochemistry. 210. 111174–111174. 11 indexed citations
7.
Jain, Surbhi, et al.. (2019). Maxillary tooth-supported bar overdenture: A case report. International Journal of Applied Dental Sciences. 5(3). 293–296. 1 indexed citations
8.
Jain, Surbhi, Selena Y. Lin, Wei Song, & Ying‐Hsiu Su. (2019). Urine-Based Liquid Biopsy for Nonurological Cancers. Genetic Testing and Molecular Biomarkers. 23(4). 277–283. 42 indexed citations
9.
Yu, Yi, Yijun Guo, Y.H. LAN, et al.. (2019). An efficient gene knock-in strategy using 5′-modified double-stranded DNA donors with short homology arms. Nature Chemical Biology. 16(4). 387–390. 49 indexed citations
10.
Jain, Surbhi, et al.. (2018). Urine as an Alternative to Blood for Cancer Liquid Biopsy and Precision Medicine. 2820–2825. 4 indexed citations
11.
Wang, Jeremy, et al.. (2018). Development and Evaluation of Novel Statistical Methods in Urine Biomarker-Based Hepatocellular Carcinoma Screening. Scientific Reports. 8(1). 3799–3799. 21 indexed citations
12.
Bao, Zehua, et al.. (2017). Orthogonal Genetic Regulation in Human Cells Using Chemically Induced CRISPR/Cas9 Activators. ACS Synthetic Biology. 6(4). 686–693. 35 indexed citations
13.
Steffen, Jamin D., et al.. (2017). ChimericSeq: An open-source, user-friendly interface for analyzing NGS data to identify and characterize viral-host chimeric sequences. PLoS ONE. 12(8). e0182843–e0182843. 10 indexed citations
14.
Xiong, Xiong, Yanxiao Zhang, Jian Yan, et al.. (2017). A Scalable Epitope Tagging Approach for High Throughput ChIP-Seq Analysis. ACS Synthetic Biology. 6(6). 1034–1042. 14 indexed citations
15.
Chen, Dion, et al.. (2017). Building Classification Models with Combined Biomarker Tests: Application to Early Detection of Liver Cancer. PubMed. 5(3). 91–103. 3 indexed citations
16.
Jain, Surbhi, Ting‐Tsung Chang, Sitong Chen, et al.. (2015). Comprehensive DNA methylation analysis of hepatitis B virus genome in infected liver tissues. Scientific Reports. 5(1). 10478–10478. 41 indexed citations
17.
Jain, Surbhi, et al.. (2014). Poly (3-Hydroxyalkanoates): Biodegradable Plastics. 3(1). 11–14. 2 indexed citations
18.
Su, Ying‐Hsiu, Selena Y. Lin, Wei Song, & Surbhi Jain. (2014). DNA markers in molecular diagnostics for hepatocellular carcinoma. Expert Review of Molecular Diagnostics. 14(7). 803–817. 22 indexed citations
19.
Jain, Surbhi, Tomasz K. Wojdacz, & Ying‐Hsiu Su. (2013). Challenges for the application of DNA methylation biomarkers in molecular diagnostic testing for cancer. Expert Review of Molecular Diagnostics. 13(3). 283–294. 22 indexed citations
20.
Jain, Surbhi, Sitong Chen, James P. Hamilton, et al.. (2012). Impact of the Location of CpG Methylation within the GSTP1 Gene on Its Specificity as a DNA Marker for Hepatocellular Carcinoma. PLoS ONE. 7(4). e35789–e35789. 42 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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