Chaitanya Jain

1.3k total citations
39 papers, 1.0k citations indexed

About

Chaitanya Jain is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Chaitanya Jain has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 23 papers in Genetics and 10 papers in Ecology. Recurrent topics in Chaitanya Jain's work include RNA and protein synthesis mechanisms (30 papers), Bacterial Genetics and Biotechnology (22 papers) and RNA Research and Splicing (13 papers). Chaitanya Jain is often cited by papers focused on RNA and protein synthesis mechanisms (30 papers), Bacterial Genetics and Biotechnology (22 papers) and RNA Research and Splicing (13 papers). Chaitanya Jain collaborates with scholars based in United States, France and Brazil. Chaitanya Jain's co-authors include Joel G. Belasco, Nancy Kleckner, Kevin L. Jagessar, Angela L. Bricker, Atilio Deana, Nancy S. Gutgsell, Kurt Schesser, Xinliang Zhao, Sandeep Ojha and Isabelle Iost and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chaitanya Jain

38 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaitanya Jain United States 18 869 509 271 90 64 39 1.0k
Nrusingh P. Mohapatra United States 14 634 0.7× 428 0.8× 233 0.9× 62 0.7× 168 2.6× 19 763
Lukas Rajkowitsch Austria 11 762 0.9× 265 0.5× 138 0.5× 25 0.3× 62 1.0× 12 860
Yan Hou United States 7 519 0.6× 198 0.4× 116 0.4× 69 0.8× 93 1.5× 11 684
Jean-Marie Clément France 12 416 0.5× 259 0.5× 141 0.5× 99 1.1× 63 1.0× 22 619
Jennifer L. Elliott United States 11 550 0.6× 344 0.7× 160 0.6× 122 1.4× 169 2.6× 14 781
Richard A. Fekete United States 13 665 0.8× 234 0.5× 192 0.7× 22 0.2× 67 1.0× 17 965
Glen A. Coburn Canada 12 1.1k 1.3× 556 1.1× 201 0.7× 171 1.9× 69 1.1× 14 1.3k
K Horiuchi Japan 20 610 0.7× 457 0.9× 363 1.3× 36 0.4× 34 0.5× 43 893
Darran J. Wigelsworth United States 12 761 0.9× 481 0.9× 174 0.6× 86 1.0× 173 2.7× 12 915
Larry Snyder United States 18 820 0.9× 435 0.9× 554 2.0× 14 0.2× 33 0.5× 28 983

Countries citing papers authored by Chaitanya Jain

Since Specialization
Citations

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

Fields of papers citing papers by Chaitanya Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaitanya Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Chaitanya Jain. A scholar is included among the top collaborators of Chaitanya 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 Chaitanya Jain. Chaitanya 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.
Garikapati, Koteswara Rao, et al.. (2024). Blocking LBH expression causes replication stress and sensitizes triple-negative breast cancer cells to ATR inhibitor treatment. Oncogene. 43(12). 851–865. 4 indexed citations
2.
Jain, Chaitanya. (2023). Suppression of multiple phenotypic and RNA processing defects by overexpression of oligoribonuclease in Escherichia coli. Journal of Biological Chemistry. 299(4). 104567–104567. 1 indexed citations
3.
Ojha, Sandeep & Chaitanya Jain. (2022). Expression of the DeaD RNA Helicase Is Regulated at Multiple Levels through Its Long mRNA 5′ Untranslated Region. Journal of Bacteriology. 204(3). e0061321–e0061321. 1 indexed citations
4.
Ojha, Sandeep & Chaitanya Jain. (2020). Dual-level autoregulation of the E. coli DeaD RNA helicase via mRNA stability and Rho-dependent transcription termination. RNA. 26(9). 1160–1169. 10 indexed citations
5.
Jain, Chaitanya. (2018). Role of ribosome assembly in Escherichia coli ribosomal RNA degradation. Nucleic Acids Research. 46(20). 11048–11060. 6 indexed citations
6.
Mittal, Rahul, Hansi Kumari, M’hamed Grati, et al.. (2016). Otopathogenic Pseudomonas aeruginosa Enters and Survives Inside Macrophages. Frontiers in Microbiology. 7. 1828–1828. 22 indexed citations
7.
Gutgsell, Nancy S. & Chaitanya Jain. (2011). Role of precursor sequences in the ordered maturation of E. coli 23S ribosomal RNA. RNA. 18(2). 345–353. 13 indexed citations
8.
Zhao, Xinliang & Chaitanya Jain. (2011). DEAD-Box Proteins from Escherichia coli Exhibit Multiple ATP-Independent Activities. Journal of Bacteriology. 193(9). 2236–2241. 17 indexed citations
9.
Yuan, Fenghua, Xinliang Zhao, Limin Song, et al.. (2011). Fanconi Anemia Complementation Group A (FANCA) Protein Has Intrinsic Affinity for Nucleic Acids with Preference for Single-stranded Forms. Journal of Biological Chemistry. 287(7). 4800–4807. 24 indexed citations
10.
Jagessar, Kevin L. & Chaitanya Jain. (2010). Functional and molecular analysis of Escherichia coli strains lacking multiple DEAD-box helicases. RNA. 16(7). 1386–1392. 49 indexed citations
11.
Gutgsell, Nancy S., et al.. (2007). Functional defects in transfer RNAs lead to the accumulation of ribosomal RNA precursors. RNA. 13(4). 597–605. 9 indexed citations
12.
Jain, Chaitanya. (2005). Overexpression and purification of tagged Escherichia coli proteins using a chromosomal knock-in strategy. Protein Expression and Purification. 46(2). 294–298. 11 indexed citations
13.
Jain, Chaitanya, Atilio Deana, & Joel G. Belasco. (2002). Consequences of RNase E scarcity in Escherichia coli. Molecular Microbiology. 43(4). 1053–1064. 58 indexed citations
14.
Jain, Chaitanya & Joel G. Belasco. (2001). Structural Model for the Cooperative Assembly of HIV-1 Rev Multimers on the RRE as Deduced from Analysis of Assembly-Defective Mutants. Molecular Cell. 7(3). 603–614. 87 indexed citations
15.
Jain, Chaitanya. (1997). Models for Pairing of IS10 Encoded Antisense RNAs. Journal of Theoretical Biology. 186(4). 431–439. 2 indexed citations
16.
Jain, Chaitanya & Joel G. Belasco. (1996). A Structural Model for the HIV-1 Rev–RRE Complex Deduced from Altered-Specificity Rev Variants Isolated by a Rapid Genetic Strategy. Cell. 87(1). 115–125. 87 indexed citations
17.
Jain, Chaitanya, et al.. (1995). Autoregulation of RNase E synthesis in Escherichia coli.. PubMed. 85–8. 17 indexed citations
18.
Jain, Chaitanya. (1995). IS10 antisense control in vivo is affected by mutations throughout the region of complementarity between the interacting RNAs. Journal of Molecular Biology. 246(5). 585–594. 10 indexed citations
19.
Jain, Chaitanya. (1993). New improved lacZ gene fusion vectors. Gene. 133(1). 99–102. 16 indexed citations
20.
Jain, Chaitanya & Nancy Kleckner. (1993). IS 10 mRNA stability and steady state levels in Escherichia coli: indirect effects of translation and role of rne function. Molecular Microbiology. 9(2). 233–247. 37 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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