Shengjia Zhang

959 citations
24 papers · 806 indexed · 1 hit paper · h-index 9

Shengjia Zhang

21 papers receiving 795 citations

Hit Papers

Rho Family GTPases Regulate p38 Mitogen-activated Protein...6481995202620052015200400600

Peers

Shengjia Zhang
Comparison fields: 5 of 110
  • Immunology and Allergy 73
  • Cell Biology 189
  • Molecular Biology 544
  • Biophysics 41
  • Oncology 143
Replace Erik Björling with:
Erik Björling Sweden
Paul G. O’Reilly United Kingdom
Adam L. MacLean United States
Yasir Suhail United States
Greg Schuler United States
Nicolas Elie France
Noriko Yumoto Japan
Monika Ray United States
Mariko Hatakeyama Japan
Shengjia Zhang relative to Erik Björling Sweden Erik Björling's profile →
Citations per field
00.5×2.8×
Erik Björling · 1×
Citations per year

Countries citing papers authored by Shengjia Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shengjia Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shengjia Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shengjia Zhang Line = papers co-authored together Shengjia Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20249
2 20240
3 202317
4 20231
5 20231
6 202311
7 20225
8 20221
9 20220
10 20224
11 202235
12 202112
13 202116
14 20212
15 20203
16 20201
17 201820
18
Comparison of Doxycycline and Benzathine Penicillin G for the Treatment of Early Syphilis.
201710
19 20082
20
Rho Family GTPases Regulate p38 Mitogen-activated Protein Kinase through the Downstream Mediator Pak1breakdown →
1995648

About Shengjia Zhang

Shengjia Zhang is a scholar working on Biophysics, Analytical Chemistry, Media Technology, Environmental Engineering and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 806 indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Spectroscopy and Chemometric Analyses (5 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Laser Design and Applications (2 papers), Laser-Plasma Interactions and Diagnostics (2 papers), Molecular Biology Techniques and Applications (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Landslides and related hazards (2 papers). The work is most often cited by research in Immunology and Allergy (73 citations), Cell Biology (189 citations), Molecular Biology (544 citations), Biophysics (41 citations) and Oncology (143 citations). Shengjia Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiahuai Han, Gary Bokoch, Mary Ann Sells, Ulla G. Knaus, Jonathan Chernoff, Richard J. Ulevitch, Fuyuan Xiao, Ke Zhu, Xinguang Yu and Binlin Wu. Their work appears in journals such as Information Sciences, Ecological Indicators, ISPRS International Journal of Geo-Information, Lasers in Medical Science and Cancers.

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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