Deng‐Ke Niu

1.1k total citations
37 papers, 750 citations indexed

About

Deng‐Ke Niu is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Deng‐Ke Niu has authored 37 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Deng‐Ke Niu's work include RNA and protein synthesis mechanisms (20 papers), RNA Research and Splicing (17 papers) and RNA modifications and cancer (10 papers). Deng‐Ke Niu is often cited by papers focused on RNA and protein synthesis mechanisms (20 papers), RNA Research and Splicing (17 papers) and RNA modifications and cancer (10 papers). Deng‐Ke Niu collaborates with scholars based in China and Italy. Deng‐Ke Niu's co-authors include Feng Liang, Yufei Yang, Li Jiang, Tao Zhu, Wenru Hou, Shuwei Li, Haifang Wang, Ming Li, Jie Gao and Jie Lv and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Molecular Biology and Evolution.

In The Last Decade

Deng‐Ke Niu

36 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deng‐Ke Niu China	16	588	144	122	66	42	37	750
Jennifer A. N. Brophy United States	12	1.2k 2.0×	210 1.5×	241 2.0×	106 1.6×	23 0.5×	16	1.4k
José Miguel Ortega Brazil	16	492 0.8×	141 1.0×	74 0.6×	85 1.3×	43 1.0×	63	764
Cristian Del Fabbro Italy	7	365 0.6×	242 1.7×	83 0.7×	74 1.1×	58 1.4×	8	586
Shiheng Tao China	19	663 1.1×	261 1.8×	170 1.4×	66 1.0×	54 1.3×	71	983
Mitchell E. Skinner United States	5	524 0.9×	169 1.2×	140 1.1×	52 0.8×	55 1.3×	6	692
Eric Yao United States	5	498 0.8×	321 2.2×	169 1.4×	80 1.2×	48 1.1×	11	757
Haoyu Cheng China	10	481 0.8×	234 1.6×	126 1.0×	93 1.4×	41 1.0×	19	694
William Baker United States	4	614 1.0×	87 0.6×	87 0.7×	116 1.8×	12 0.3×	11	826
Ana Carolina Fierro Belgium	16	584 1.0×	235 1.6×	253 2.1×	106 1.6×	40 1.0×	21	919
Wayne P. Rindone United States	5	495 0.8×	43 0.3×	89 0.7×	60 0.9×	9 0.2×	8	609

Countries citing papers authored by Deng‐Ke Niu

Since Specialization

Citations

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

Fields of papers citing papers by Deng‐Ke Niu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deng‐Ke Niu. 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 Deng‐Ke Niu. The network helps show where Deng‐Ke Niu may publish in the future.

Co-authorship network of co-authors of Deng‐Ke Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Deng‐Ke Niu. A scholar is included among the top collaborators of Deng‐Ke Niu 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 Deng‐Ke Niu. Deng‐Ke Niu 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

Gao, Jie, et al.. (2022). A positive correlation between GC content and growth temperature in prokaryotes. BMC Genomics. 23(1). 110–110. 67 indexed citations

Shu, Kunxian, et al.. (2022). Intron losses and gains in the nematodes. Biology Direct. 17(1). 13–13. 3 indexed citations

Niu, Deng‐Ke, et al.. (2022). Precipitous Increase of Bacterial CRISPR-Cas Abundance at Around 45°C. Frontiers in Microbiology. 13. 773114–773114. 5 indexed citations

Zhou, Xiaoyu, et al.. (2019). Characterization of Human Dosage-Sensitive Transcription Factor Genes. Frontiers in Genetics. 10. 1208–1208. 11 indexed citations

Chen, Hongbin, Qi Wang, Yuyao Yin, et al.. (2017). Genotypic variations between wild-type and small colony variant of Staphylococcus aureus in prosthetic valve infectious endocarditis: a comparative genomic and transcriptomic analysis. International Journal of Antimicrobial Agents. 51(4). 655–658. 15 indexed citations

Niu, Deng‐Ke, et al.. (2016). Intron gain by tandem genomic duplication: a novel case in a potato gene encoding RNA-dependent RNA polymerase. PeerJ. 4. e2272–e2272. 4 indexed citations

Zhu, Τao, et al.. (2015). Imprecise intron losses are less frequent than precise intron losses but are not rare in plants. Biology Direct. 10(1). 24–24. 9 indexed citations

Zhu, Tao & Deng‐Ke Niu. (2013). Mechanisms of Intron Loss and Gain in the Fission Yeast Schizosaccharomyces. PLoS ONE. 8(4). e61683–e61683. 22 indexed citations

Yang, Yufei, Tao Zhu, & Deng‐Ke Niu. (2013). Association of Intron Loss with High Mutation Rate in Arabidopsis: Implications for Genome Size Evolution. Genome Biology and Evolution. 5(4). 723–733. 37 indexed citations

10.

Niu, Deng‐Ke & Li Jiang. (2012). Can ENCODE tell us how much junk DNA we carry in our genome?. Biochemical and Biophysical Research Communications. 430(4). 1340–1343. 79 indexed citations

11.

Hou, Wenru, Ming Li, & Deng‐Ke Niu. (2011). Counting citations in texts rather than reference lists to improve the accuracy of assessing scientific contribution. BioEssays. 33(10). 724–727. 43 indexed citations

12.

Niu, Deng‐Ke & Yufei Yang. (2011). Why eukaryotic cells use introns to enhance gene expression: Splicing reduces transcription-associated mutagenesis by inhibiting topoisomerase I cutting activity. Biology Direct. 6(1). 24–24. 52 indexed citations

13.

Lv, Jie, Ning Li, & Deng‐Ke Niu. (2008). Association between the availability of environmental resources and the atomic composition of organismal proteomes: Evidence from Prochlorococcus strains living at different depths. Biochemical and Biophysical Research Communications. 375(2). 241–246. 17 indexed citations

14.

Huang, Yi-Fei & Deng‐Ke Niu. (2008). Evidence against the energetic cost hypothesis for the short introns in highly expressed genes. BMC Evolutionary Biology. 8(1). 154–154. 16 indexed citations

15.

Niu, Deng‐Ke. (2007). Protecting exons from deleterious R-loops: a potential advantage of having introns. Biology Direct. 2(1). 11–11. 21 indexed citations

16.

Wang, Haifang, Wenru Hou, & Deng‐Ke Niu. (2007). Strand compositional asymmetries in vertebrate large genes. Molecular Biology Reports. 35(2). 163–169. 2 indexed citations

17.

Hou, Wenru, Haifang Wang, & Deng‐Ke Niu. (2006). Replication-associated strand asymmetries in vertebrate genomes and implications for replicon size, DNA replication origin, and termination. Biochemical and Biophysical Research Communications. 344(4). 1258–1262. 5 indexed citations

18.

Niu, Deng‐Ke, Wenru Hou, & Shuwei Li. (2005). mRNA-Mediated Intron Losses: Evidence from Extraordinarily Large Exons. Molecular Biology and Evolution. 22(6). 1475–1481. 43 indexed citations

19.

Niu, Deng‐Ke, Jiakuan Chen, & Yongding Liu. (2001). Margulis' Theory on Division of Labour in Cells Revisited. Acta Biotheoretica. 49(1). 23–28. 1 indexed citations

20.

Niu, Deng‐Ke, et al.. (1997). Evolutionary Advantages of Cell Specialization: Save and Protect DNA. Journal of Theoretical Biology. 187(1). 39–43. 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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