Xiaoying Meng

405 citations
19 papers · 323 · h-index 9

Impact in

Papers in

    • Plant Reproductive Biology 5
    • Amyloidosis: Diagnosis, Treatment, Outcomes 3
    • Advanced Biosensing Techniques and Applications 2
    • Advanced Proteomics Techniques and Applications 4

Xiaoying Meng

18 papers receiving 319 citations

Peers

Xiaoying Meng
Comparison fields: 5 of 53
  • Ecology, Evolution, Behavior and Systematics 90
  • Plant Science 132
  • Molecular Biology 208
  • Reproductive Medicine 19
  • Cancer Research 28
Replace Jiejun Chen with:
Jiejun Chen China
Ho-Hyung Woo United States
Cristian Rohr Argentina
Xin Zou China
Gift Nyamundanda United Kingdom
Weiyue Chen China
Yoann Gloaguen Germany
Ruijun Liu China
Chong Hu China
Guihong Qi China
Xiaoying Meng relative to Jiejun Chen China Jiejun Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoying Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200685
2 200763
3 201053
4 201920
5 200418
6 201117
7 200913
8 202212
9 20218
10 20047
11 20077
12 20206
13 20105
14 20213
15 20222
16 20132
17 20041
18 20241
19
Protein identification and immunoassay evaluation of a panel of biomarkers discovered through proteomic profiling for the detection of ovarian cancer
20040

About Xiaoying Meng

Xiaoying Meng is a scholar working on Molecular Biology, Spectroscopy, Plant Science, Pulmonary and Respiratory Medicine and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 323 indexed citations. Recurring topics across this work include Plant Reproductive Biology (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Plant Molecular Biology Research (3 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Plant and animal studies (2 papers), Medical Image Segmentation Techniques (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (90 citations), Plant Science (132 citations), Molecular Biology (208 citations), Reproductive Medicine (19 citations) and Cancer Research (28 citations). Xiaoying Meng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Teh‐hui Kao, Zhihua Hua, Penglin Sun, Eric T. Fung, Christine Yip, Zheng Wang, Jing Wang, Annette M. Molinaro, Fujun Zhang and Ruth M. Pfeiffer. Their work appears in journals such as Annals of Botany, Clinical Chemistry, Cancer Epidemiology Biomarkers & Prevention, Frontiers in Public Health and PLoS ONE.

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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