Xiaoling Tang

2.4k citations
86 papers · 1.9k indexed · h-index 24

Impact in

    • Amino Acid Enzymes and Metabolism
    • Enzyme Catalysis and Immobilization
    • Microbial Metabolic Engineering and Bioproduction

Papers in

Xiaoling Tang

84 papers receiving 1.9k citations

Peers

Xiaoling Tang
Comparison fields: 5 of 111
  • Biochemistry 145
  • Molecular Biology 1.3k
  • Biotechnology 143
  • Cell Biology 178
  • Biomedical Engineering 387
Replace Alfonso Fernández‐Mayoralas with:
Alfonso Fernández‐Mayoralas Spain
Marzia Bruna Gariboldi Italy
Zdena Sulová Slovakia
Patrick D’Silva India
Bruno Perillo Italy
Gennaro Agrimi Italy
Fumio Yamaguchi Japan
Antonio Pezone Italy
Ling Wu China
Xiaoling Tang relative to Alfonso Fernández‐Mayoralas Spain Alfonso Fernández‐Mayoralas's profile →
Citations per field
00.5×2.7×
Alfonso Fernández‐Mayoralas · 1×
Citations per year

Countries citing papers authored by Xiaoling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017136
2 2004116
3 200890
4 201387
5 201887
6 201775
7 200768
8 201667
9 201565
10 201457
11 200647
12 201543
13 200740
14 201239
15 201537
16 201736
17 201934
18 200629
19 201828
20 201428

About Xiaoling Tang

Xiaoling Tang is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Materials Chemistry and Biochemistry, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (38 papers), Microbial Metabolic Engineering and Bioproduction (27 papers), Amino Acid Enzymes and Metabolism (8 papers), Enzyme Structure and Function (8 papers), Biofuel production and bioconversion (7 papers), Cancer Research and Treatments (6 papers), Enzyme Production and Characterization (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Biochemistry (145 citations), Molecular Biology (1.3k citations), Biotechnology (143 citations), Cell Biology (178 citations) and Biomedical Engineering (387 citations). Xiaoling Tang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yu‐Guo Zheng, Ren‐Chao Zheng, Wei Ning Chen, Keqiang Ye, Zhi‐Qiang Liu, David H. Gutmann, Huanhuan Yin, Huixing Feng, Feng Cheng and Rong Rong. Their work appears in journals such as Biotechnology and Bioengineering, Applied Microbiology and Biotechnology, Biotechnology Letters, Journal of Biotechnology and Bioorganic Chemistry.

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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