Xiaolan Jiang

4.4k citations
67 papers · 2.6k · h-index 28

Impact in

Papers in

Xiaolan Jiang

64 papers receiving 2.6k citations

Peers

Xiaolan Jiang
Comparison fields: 5 of 95
  • Biochemistry 643
  • Applied Microbiology and Biotechnology 109
  • Pathology and Forensic Medicine 850
  • Molecular Biology 1.4k
  • Food Science 364
Replace Miwa Sakai with:
Miwa Sakai Japan
Wentzel C.A. Gelderblom South Africa
Juhua Zhuang China
Ji-Qiang Jin China
Bo Zou China
Weixi Tian China
Hirotaka Katsuzaki Japan
Pornsiri Pitchakarn Thailand
Kye‐Taek Lim South Korea
Xiaolan Jiang relative to Miwa Sakai Japan Miwa Sakai's profile →
Citations per field
00.5×7.2×
Miwa Sakai · 1×
Citations per year

Countries citing papers authored by Xiaolan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014296
2 2013225
3 2016192
4 2019151
5 2014112
6 2018106
7 201791
8 201787
9 201882
10 202076
11 201571
12 201967
13 202260
14 201760
15 201859
16 201654
17 201751
18 202048
19 201943
20 202142

About Xiaolan Jiang

Xiaolan Jiang is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Biochemistry, Plant Science and Biotechnology, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (29 papers), Tea Polyphenols and Effects (23 papers), Plant biochemistry and biosynthesis (19 papers), Phytochemicals and Antioxidant Activities (16 papers), Biochemical and biochemical processes (9 papers), Aluminum toxicity and tolerance in plants and animals (7 papers), Silicon Effects in Agriculture (6 papers) and Tannin, Tannase and Anticancer Activities (4 papers). The work is most often cited by research in Biochemistry (643 citations), Applied Microbiology and Biotechnology (109 citations), Pathology and Forensic Medicine (850 citations), Molecular Biology (1.4k citations) and Food Science (364 citations). Xiaolan Jiang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Liping Gao, Tao Xia, Yajun Liu, Xinlong Dai, Yunsheng Wang, Peiqiang Wang, Juhua Zhuang, Lei Zhao, Yumei Qian and Huarong Tan. Their work appears in journals such as Journal of Agricultural and Food Chemistry, The Plant Journal, Horticulture Research, Plant Science and International Journal of Molecular Sciences.

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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