Hejia Wang

1.4k total citations
20 papers, 600 citations indexed

About

Hejia Wang is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Hejia Wang has authored 20 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Neurology. Recurrent topics in Hejia Wang's work include Antimicrobial Resistance in Staphylococcus (4 papers), RNA Interference and Gene Delivery (3 papers) and Biochemical and Structural Characterization (3 papers). Hejia Wang is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (4 papers), RNA Interference and Gene Delivery (3 papers) and Biochemical and Structural Characterization (3 papers). Hejia Wang collaborates with scholars based in United States, China and Italy. Hejia Wang's co-authors include Andrew Tsourkas, James Shorter, Kido Nwe, Mingquan Cui, Eric J. Huang, Michael C. Oldham, Li Song, Hansen Lui, Li-Huei Tsai and Kin Fai Au and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Hejia Wang

18 papers receiving 599 citations

Peers

Hejia Wang
Comparison fields: 5 of 68
  • Molecular Biology 368
  • Neurology 152
  • Genetics 104
  • Molecular Medicine 103
  • Pollution 87
Replace Yoshio Shibagaki with:
Yoshio Shibagaki Japan
J. King-Scott Australia
Brent Holmes United States
Hong Sun Kim South Korea
Mariana Hainrichson Israel
Per Malkus United States
Ariel Talavera Belgium
Christian Therrien Canada
Alberto Azzalin Italy
Miroslava Sedláčková Czechia
Yoshio Shibagaki Japan View profile →
Citations per field, relative to Hejia Wang
Hejia Wang · 1×
Citations per year, relative to Hejia Wang
Hejia Wang · 1×

Countries citing papers authored by Hejia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hejia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hejia Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hejia Wang. A scholar is included among the top collaborators of Hejia Wang 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 Hejia Wang. Hejia Wang 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
# Work Indexed citations
1 0
2 0
3 1
4 29
5 7
6 13
7 11
8 7
9 1
10 49
11 61
12 47
13 4
14 36
15 45
16 3
17 11
18 207
19 26
20 42

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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