Suvi Jain

1.6k total citations
10 papers, 1.1k citations indexed

About

Suvi Jain is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Suvi Jain has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Oncology. Recurrent topics in Suvi Jain's work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and T-cell and B-cell Immunology (3 papers). Suvi Jain is often cited by papers focused on DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and T-cell and B-cell Immunology (3 papers). Suvi Jain collaborates with scholars based in United States, Austria and India. Suvi Jain's co-authors include James E. Haber, John R. Lydeard, Miyuki Yamaguchi, Neal Sugawara, Frederick W. Alt, Hai‐Qiang Dai, Zhaoqing Ba, Nicolas Tanguy Le Gac, Moreshwar B. Vaze and Yu Zhang and has published in prestigious journals such as Nature, Cell and Genes & Development.

In The Last Decade

Suvi Jain

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suvi Jain United States	9	902	204	172	119	113	10	1.1k
Jonathan Baxter United Kingdom	17	1.3k 1.4×	188 0.9×	301 1.8×	28 0.2×	223 2.0×	26	1.5k
Nicola Crosetto Germany	5	717 0.8×	86 0.4×	57 0.3×	21 0.2×	130 1.2×	7	822
Nicole Happel Germany	16	989 1.1×	59 0.3×	206 1.2×	31 0.3×	165 1.5×	24	1.2k
Cátia Igreja Germany	20	943 1.0×	95 0.5×	58 0.3×	19 0.2×	36 0.3×	29	1.0k
Melissa D. Adams United States	17	1.0k 1.1×	72 0.4×	207 1.2×	24 0.2×	47 0.4×	21	1.2k
Félix Prado Spain	19	1.5k 1.6×	44 0.2×	181 1.1×	47 0.4×	134 1.2×	41	1.5k
Naoko Yoshizawa-Sugata Japan	12	812 0.9×	63 0.3×	146 0.8×	26 0.2×	239 2.1×	20	936
Bárbara Pernaute Spain	13	531 0.6×	148 0.7×	82 0.5×	23 0.2×	128 1.1×	18	745
Wendy Magis United States	11	955 1.1×	77 0.4×	96 0.6×	44 0.4×	27 0.2×	14	1.1k
Alice Horton United Kingdom	4	1.5k 1.7×	109 0.5×	306 1.8×	30 0.3×	38 0.3×	5	1.7k

Countries citing papers authored by Suvi Jain

Since Specialization

Citations

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

Fields of papers citing papers by Suvi Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvi Jain

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

All Works

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10 of 10 papers shown

1.

Ba, Zhaoqing, Jiangman Lou, Adam Yongxin Ye, et al.. (2020). CTCF orchestrates long-range cohesin-driven V(D)J recombinational scanning. Nature. 586(7828). 305–310. 74 indexed citations

2.

Jain, Suvi, Zhaoqing Ba, Yu Zhang, Hai‐Qiang Dai, & Frederick W. Alt. (2018). CTCF-Binding Elements Mediate Accessibility of RAG Substrates During Chromatin Scanning. Cell. 174(1). 102–116.e14. 80 indexed citations

3.

Jain, Suvi, et al.. (2017). Design and analysis of 6T SRAM cell with NBL write assist technique using FinFET. 47. 639–644.

4.

Jain, Suvi, Neal Sugawara, & James E. Haber. (2016). Role of Double-Strand Break End-Tethering during Gene Conversion in Saccharomyces cerevisiae. PLoS Genetics. 12(4). e1005976–e1005976. 20 indexed citations

5.

Jain, Suvi, Neal Sugawara, Anuja Mehta, Taehyun Ryu, & James E. Haber. (2016). Sgs1 and Mph1 Helicases Enforce the Recombination Execution Checkpoint During DNA Double-Strand Break Repair in Saccharomyces cerevisiae. Genetics. 203(2). 667–675. 27 indexed citations

6.

Guo, Chunguang, Hye Suk Yoon, Andrew Franklin, et al.. (2011). CTCF-binding elements mediate control of V(D)J recombination. Nature. 477(7365). 424–430. 200 indexed citations

7.

Lydeard, John R., et al.. (2010). Sgs1 and Exo1 Redundantly Inhibit Break-Induced Replication and De Novo Telomere Addition at Broken Chromosome Ends. PLoS Genetics. 6(5). e1000973–e1000973. 74 indexed citations

8.

Dotiwala, Farokh, Jacob C. Harrison, Suvi Jain, Neal Sugawara, & James E. Haber. (2010). Mad2 Prolongs DNA Damage Checkpoint Arrest Caused by a Double-Strand Break via a Centromere-Dependent Mechanism. Current Biology. 20(4). 328–332. 69 indexed citations

9.

Jain, Suvi, Neal Sugawara, John R. Lydeard, et al.. (2009). A recombination execution checkpoint regulates the choice of homologous recombination pathway during DNA double-strand break repair. Genes & Development. 23(3). 291–303. 113 indexed citations

10.

Lydeard, John R., Suvi Jain, Miyuki Yamaguchi, & James E. Haber. (2007). Break-induced replication and telomerase-independent telomere maintenance require Pol32. Nature. 448(7155). 820–823. 395 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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