Jun‐Xia An

434 citations
30 papers · 290 · h-index 11

Impact in

Papers in

Jun‐Xia An

28 papers receiving 284 citations

Peers

Jun‐Xia An
Comparison fields: 5 of 66
  • Reproductive Medicine 27
  • Plant Science 113
  • Cell Biology 47
  • Food Science 51
  • Ecology, Evolution, Behavior and Systematics 42
Replace M. Moreno‐Millán with:
M. Moreno‐Millán Spain
Yugang Zhang China
Paulos Chumala Canada
Sreeja Sreekumar United States
Markus Matuschek Germany
Yasutomo Shinohara Japan
Pu Guo China
Manuel Alonso-Garrido Spain
Jin Tae South Korea
Diego Alem Uruguay
Jun‐Xia An relative to M. Moreno‐Millán Spain M. Moreno‐Millán's profile →
Citations per field
00.5×9.4×
M. Moreno‐Millán · 1×
Citations per year

Countries citing papers authored by Jun‐Xia An

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Xia An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Xia An. 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 Jun‐Xia An. The network helps show where Jun‐Xia An may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202246
2 202032
3 202220
4 202220
5 202219
6 202214
7 202312
8 202312
9 202212
10 202312
11 202211
12 202010
13 202410
14 20209
15 20249
16 20236
17 20245
18 20234
19 20244
20 20224

About Jun‐Xia An

Jun‐Xia An is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Food Science and Organic Chemistry, having authored 30 papers that have together received 290 indexed citations. Recurring topics across this work include Fungal Plant Pathogen Control (8 papers), Plant-Microbe Interactions and Immunity (7 papers), Plant Disease Resistance and Genetics (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Essential Oils and Antimicrobial Activity (5 papers), Plant Pathogenic Bacteria Studies (4 papers), Reproductive System and Pregnancy (3 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Reproductive Medicine (27 citations), Plant Science (113 citations), Cell Biology (47 citations), Food Science (51 citations) and Ecology, Evolution, Behavior and Systematics (42 citations). Jun‐Xia An has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhijun Zhang, Bao‐Qi Zhang, Ying‐Qian Liu, Shaoyong Zhang, An‐Ping Li, Lifei Li, Yongmei Hu, Tian‐Lin Wu, Xuehong Zhang and Wenbin Zhao. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Pest Management Science, The Journal of Antibiotics, International Journal of Food Microbiology and Stem Cells and Development.

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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