HE Tie-ming

404 total citations
3 papers, 114 citations indexed

About

HE Tie-ming is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, HE Tie-ming has authored 3 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Epidemiology. Recurrent topics in HE Tie-ming's work include RNA modifications and cancer (1 paper), Virus-based gene therapy research (1 paper) and Herpesvirus Infections and Treatments (1 paper). HE Tie-ming is often cited by papers focused on RNA modifications and cancer (1 paper), Virus-based gene therapy research (1 paper) and Herpesvirus Infections and Treatments (1 paper). HE Tie-ming collaborates with scholars based in China and Germany. HE Tie-ming's co-authors include Zhongyi Cheng, Yingming Zhao, Minjia Tan, Zhixiang Wu, Mingwei Sun, Ping Liu, Wenting Li, Lejie Cao, Xin Li and Quan Wu and has published in prestigious journals such as Virology, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

HE Tie-ming

3 papers receiving 112 citations

Peers

HE Tie-ming
William Bocik United States
Lọla Fagbami United States
P. Koetter Germany
Marta W. Szulik United States
C. H. Cheng United States
Rainer Malik Germany
Jeffrey M. Sifford United States
William Bocik United States
HE Tie-ming
Citations per year, relative to HE Tie-ming HE Tie-ming (= 1×) peers William Bocik

Countries citing papers authored by HE Tie-ming

Since Specialization
Citations

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

Fields of papers citing papers by HE Tie-ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by HE Tie-ming. 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 HE Tie-ming. The network helps show where HE Tie-ming may publish in the future.

Co-authorship network of co-authors of HE Tie-ming

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

All Works

3 of 3 papers shown
1.
Liu, Xia, Libo Zhao, Yongtao Yang, et al.. (2014). Human borna disease virus infection impacts host proteome and histone lysine acetylation in human oligodendroglia cells. Virology. 464-465. 196–205. 14 indexed citations
2.
Wu, Zhixiang, Zhongyi Cheng, Mingwei Sun, et al.. (2014). A Chemical Proteomics Approach for Global Analysis of Lysine Monomethylome Profiling *. Molecular & Cellular Proteomics. 14(2). 329–339. 65 indexed citations
3.
Wu, Quan, Lejie Cao, Xin Li, et al.. (2013). SAHA Treatment Reveals the Link between Histone Lysine Acetylation and Proteome in Nonsmall Cell Lung Cancer A549 Cells. Journal of Proteome Research. 12(9). 4064–4073. 35 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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