Xiaojing Yang

4.3k citations
93 papers · 3.3k · h-index 30

Impact in

Papers in

Xiaojing Yang

88 papers receiving 3.3k citations

Peers

Xiaojing Yang
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 806
  • Plant Science 1.3k
  • Molecular Biology 2.2k
  • Electrochemistry 184
  • Renewable Energy, Sustainability and the Environment 292
Replace Jonathan P. Hosler with:
Jonathan P. Hosler United States
Albert Guskov Netherlands
Toru Hisabori Japan
Petra Hellwig France
Tewfik Soulimane Ireland
Masafumi Yohda Japan
W. John Ingledew United Kingdom
W. Rypniewski Poland
Antonio Dı́az-Quintana Spain
Simone Ciofi‐Baffoni Italy
Xiaojing Yang relative to Jonathan P. Hosler United States Jonathan P. Hosler's profile →
Citations per field
00.5×4.1×
Jonathan P. Hosler · 1×
Citations per year

Countries citing papers authored by Xiaojing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaojing Yang, 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 Xiaojing Yang Line = papers co-authored together Xiaojing Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010405
2 2008269
3 2003183
4 2005183
5 2007163
6 2011141
7 2009127
8 2004103
9 201489
10 200181
11 201877
12 200475
13 200874
14 199670
15 201265
16 200965
17 200956
18 201754
19 200450
20 201049

About Xiaojing Yang

Xiaojing Yang is a scholar working on Molecular Biology, Plant Science, Materials Chemistry, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering, having authored 93 papers that have together received 3.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (30 papers), Light effects on plants (25 papers), Photoreceptor and optogenetics research (17 papers), Enzyme Structure and Function (14 papers), Algal biology and biofuel production (10 papers), Biocrusts and Microbial Ecology (8 papers), Protein Structure and Dynamics (7 papers) and Metal-Organic Frameworks: Synthesis and Applications (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (806 citations), Plant Science (1.3k citations), Molecular Biology (2.2k citations), Electrochemistry (184 citations) and Renewable Energy, Sustainability and the Environment (292 citations). Xiaojing Yang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Keith Moffat, Jane Kuk, Zhong Ren, Rebecca A. Ayers, Andreas Möglich, Emina A. Stojković, Tao Pan, Andrey S. Krasilnikov, Alfonso Mondragón and Li‐Min Zheng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Structure, The Journal of Physical Chemistry Letters, Biophysical Journal and Biochemistry.

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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