Xiaowei Ni

536 citations
20 papers · 315 · h-index 9

Impact in

  • Ecology top 10%
    • Coastal wetland ecosystem dynamics
    • Genetic diversity and population structure

Papers in

    • Identification and Quantification in Food 4
    • Plant and Fungal Species Descriptions 3
    • Genetic diversity and population structure 6

Xiaowei Ni

19 papers receiving 299 citations

Peers

Xiaowei Ni
Comparison fields: 5 of 74
  • Ecology 142
  • Genetics 128
  • Oceanography 54
  • Immunology 42
  • Molecular Biology 125
Replace Giulia Riccioni with:
Giulia Riccioni Italy
Shi Hyun Ryu South Korea
Anna Elz United States
Yaron Tikochinski Israel
Francesco Maroso Italy
Florence Cornette France
Anahid E. Powell United States
Aude Jouaux France
R Mogg United Kingdom
Carolina Peñaloza United Kingdom
Xiaowei Ni relative to Giulia Riccioni Italy Giulia Riccioni's profile →
Citations per field
00.5×2.8×
Giulia Riccioni · 1×
Citations per year

Countries citing papers authored by Xiaowei Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200646
2 200544
3 200642
4 200539
5 200928
6 200627
7 201127
8 200814
9 20239
10 20168
11 20086
12 20226
13 20224
14 20233
15 20233
16 20243
17 20093
18 20172
19 20231
20 20120

About Xiaowei Ni

Xiaowei Ni is a scholar working on Molecular Biology, Genetics, Mechanics of Materials, Ecology and Ocean Engineering, having authored 20 papers that have together received 315 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Identification and Quantification in Food (4 papers), Drilling and Well Engineering (3 papers), Plant and Fungal Species Descriptions (3 papers), Coastal wetland ecosystem dynamics (3 papers), T-cell and B-cell Immunology (2 papers), Microbial infections and disease research (2 papers) and Marine and coastal plant biology (2 papers). The work is most often cited by research in Ecology (142 citations), Genetics (128 citations), Oceanography (54 citations), Immunology (42 citations) and Molecular Biology (125 citations). Xiaowei Ni has collaborated with scholars based in China, Sri Lanka and Slovakia. Frequent co-authors include Suhua Shi, Yelin Huang, Fengxiao Tan, Qiu‐Hong Wan, Tian Tang, Sheng‐Guo Fang, Shulin Deng, Renchao Zhou, Xue‐Jun Ge and Tian Tang. Their work appears in journals such as Aquatic Botany, PLoS ONE, Clinical Rheumatology, Conservation Genetics and Marine Biology.

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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