Krishnaveni Mishra

886 total citations
30 papers, 546 citations indexed

About

Krishnaveni Mishra is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Krishnaveni Mishra has authored 30 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Krishnaveni Mishra's work include RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and Nuclear Structure and Function (7 papers). Krishnaveni Mishra is often cited by papers focused on RNA Research and Splicing (11 papers), Genomics and Chromatin Dynamics (9 papers) and Nuclear Structure and Function (7 papers). Krishnaveni Mishra collaborates with scholars based in India, Switzerland and France. Krishnaveni Mishra's co-authors include David Shore, Rakesh K. Mishra, Sreesankar Easwaran, Vellaichamy Bharathi, Vivek S. Chopra, Veena K. Parnaik, Nandini Rangaraj, Senthilkumar Ramamoorthy, Ram Kumar and Rashmi U. Pathak and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Krishnaveni Mishra

28 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Krishnaveni Mishra India	15	507	108	63	42	40	30	546
Heiko Schober Switzerland	7	848 1.7×	136 1.3×	84 1.3×	37 0.9×	20 0.5×	7	895
Diane E. Cryderman United States	15	735 1.4×	253 2.3×	53 0.8×	46 1.1×	21 0.5×	17	816
Mark J. Swanson United States	14	843 1.7×	89 0.8×	28 0.4×	82 2.0×	20 0.5×	17	886
Pierre Therizols France	9	831 1.6×	191 1.8×	49 0.8×	43 1.0×	12 0.3×	11	873
P Laurenson United States	8	837 1.7×	174 1.6×	27 0.4×	66 1.6×	24 0.6×	9	879
Chuanxian Wei China	6	344 0.7×	60 0.6×	27 0.4×	43 1.0×	12 0.3×	10	426
Nadine Eckert‐Boulet Denmark	13	855 1.7×	105 1.0×	113 1.8×	123 2.9×	94 2.4×	16	888
Ronit Weisman Israel	19	871 1.7×	151 1.4×	38 0.6×	132 3.1×	26 0.7×	25	938
Gianpiero Spedale Netherlands	9	367 0.7×	46 0.4×	24 0.4×	62 1.5×	18 0.5×	9	411
Kara A. Boltz United States	9	398 0.8×	183 1.7×	313 5.0×	25 0.6×	24 0.6×	11	528

Countries citing papers authored by Krishnaveni Mishra

Since Specialization

Citations

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

Fields of papers citing papers by Krishnaveni Mishra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnaveni Mishra

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

Kumar, Pardeep, et al.. (2025). Exploration of Benzofuran/Indole‐Chalcone Conjugated 1,2,3‐Triazole Hybrids as Candida glabrata Agents: Design, Synthesis, Biological Evaluation, Molecular Docking, and In Silico ADMET Analysis. Chemistry & Biodiversity. 22(8). e202500345–e202500345. 2 indexed citations

Mishra, Krishnaveni, et al.. (2024). The nuclear pore protein NUP98 impedes LTR-driven basal gene expression of HIV-1, viral propagation, and infectivity. Frontiers in Immunology. 15. 1330738–1330738.

Gupta, Dipika, Renu Shukla, & Krishnaveni Mishra. (2024). SUMO-targeted Ubiquitin Ligases as crucial mediators of protein homeostasis in Candida glabrata. PLoS Pathogens. 20(12). e1012742–e1012742.

Mishra, Krishnaveni, et al.. (2023). Transcription termination complex, Rtt103-Rai1-Rat1, regulates sub-telomeric transcripts in Saccharomyces cerevisiae. RNA Biology. 20(1). 95–108. 1 indexed citations

Jyothi, Vaskuri G. S. Sainaga, Venkata Rao Kaki, Amol G. Dikundwar, et al.. (2023). Naringenin-Capped Silver Nanoparticles Amalgamated Gel for the Treatment of Cutaneous Candidiasis. AAPS PharmSciTech. 24(5). 126–126. 4 indexed citations

Mishra, Krishnaveni, et al.. (2022). Uip4p modulates nuclear pore complex function in Saccharomyces cerevisiae. Nucleus. 13(1). 79–94. 1 indexed citations

Mishra, Krishnaveni, et al.. (2021). The challenge of staying in shape: nuclear size matters. Current Genetics. 67(4). 605–612. 6 indexed citations

Mishra, Krishnaveni, et al.. (2020). Predicting subcellular localization of proteins using protein-protein interaction data. Genomics. 112(3). 2361–2368. 14 indexed citations

Gupta, Dipika, et al.. (2020). SUMOylation in fungi: A potential target for intervention. Computational and Structural Biotechnology Journal. 18. 3484–3493. 11 indexed citations

10.

Mishra, Krishnaveni, et al.. (2018). Comparative genomics of nuclear envelope proteins. BMC Genomics. 19(1). 823–823. 10 indexed citations

11.

Mishra, Krishnaveni, et al.. (2018). Elevated dosage of Ulp1 disrupts telomeric silencing in Saccharomyces cerevisiae. Molecular Biology Reports. 45(6). 2481–2489. 3 indexed citations

12.

Priyakumar, U. Deva, et al.. (2015). Sumoylation of Sir2 differentially regulates transcriptional silencing in yeast. Nucleic Acids Research. 43(21). gkv842–gkv842. 20 indexed citations

13.

Mishra, Krishnaveni, et al.. (2014). Yeast Nkp2 is required for accurate chromosome segregation and interacts with several components of the central kinetochore. Molecular Biology Reports. 41(2). 787–797. 4 indexed citations

14.

Mishra, Krishnaveni, et al.. (2012). Yeast Transcription Termination Factor Rtt103 Functions in DNA Damage Response. PLoS ONE. 7(2). e31288–e31288. 20 indexed citations

15.

Kumar, Gulshan, et al.. (2011). A Single-Chain Antibody Fragment Against Human Thyroglobulin: Construction and Evaluation of Immunoreactivity. Hybridoma. 30(3). 253–259. 2 indexed citations

16.

Chopra, Vivek S., Ram Kumar, Krishnaveni Mishra, et al.. (2008). Transcriptional activation by GAGA factor is through its direct interaction with dmTAF3. Developmental Biology. 317(2). 660–670. 34 indexed citations

17.

Pathak, Rashmi U., et al.. (2007). Boundary Element-Associated Factor 32B Connects Chromatin Domains to the Nuclear Matrix. Molecular and Cellular Biology. 27(13). 4796–4806. 29 indexed citations

18.

Mishra, Krishnaveni, et al.. (2003). Trl-GAGA directly interacts with lola like and both are part of the repressive complex of Polycomb group of genes. Mechanisms of Development. 120(6). 681–689. 48 indexed citations

19.

Mishra, Krishnaveni & David Shore. (1999). Yeast Ku protein plays a direct role in telomeric silencing and counteracts inhibition by Rif proteins. Current Biology. 9(19). 1123–S2. 119 indexed citations

20.

Pandey, Siyaram, Anjali A. Karande, Krishnaveni Mishra, & Veena K. Parnaik. (1994). Inhibition of Nuclear Protein Import by a Monoclonal Antibody against a Novel Class of Nuclear Pore Proteins. Experimental Cell Research. 212(2). 243–254. 6 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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