Wan Ni

484 citations
24 papers · 374 · h-index 10

Impact in

    • Tryptophan and brain disorders
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Reproductive System and Pregnancy

Papers in

Wan Ni

22 papers receiving 371 citations

Peers

Wan Ni
Comparison fields: 5 of 97
  • Biological Psychiatry 22
  • Immunology 187
  • Transplantation 12
  • Behavioral Neuroscience 10
  • Oncology 54
Replace Claire Jumeau with:
Claire Jumeau France
Daisuke Harama Japan
Raffaella Poggioli United States
Monika Biasizzo Slovenia
Hideaki Hozumi Japan
Oliver Schanz Germany
Mohammed Ghiboub Netherlands
Natalija Novak Germany
Fabíola Reis de Oliveira Brazil
Wan Ni relative to Claire Jumeau France Claire Jumeau's profile →
Citations per field
00.5×3.5×
Claire Jumeau · 1×
Citations per year

Countries citing papers authored by Wan Ni

Since Specialization
Citations

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

Fields of papers citing papers by Wan Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010102
2 200953
3 200743
4 200840
5 200830
6 202123
7 202219
8 201112
9 202010
10 20239
11 20226
12 20236
13 20195
14
A STUDY ON THE SPATIAL SELF CORRELATION OF LOESS PARAMETERS
20023
15 20203
16 20133
17 20112
18
Effects of Extracellular Signal Regulated Kinase Signaling Pathway on Cell Cycle of Airway Smooth Muscle Cells in Asthmatic Rats
20101
19 20101
20 20031

About Wan Ni

Wan Ni is a scholar working on Immunology, Plant Science, Pharmacology, Electrical and Electronic Engineering and Oncology, having authored 24 papers that have together received 374 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Advanced Power Amplifier Design (3 papers), Radio Frequency Integrated Circuit Design (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Pain Mechanisms and Treatments (2 papers), Electromagnetic Compatibility and Noise Suppression (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Biological Psychiatry (22 citations), Immunology (187 citations), Transplantation (12 citations), Behavioral Neuroscience (10 citations) and Oncology (54 citations). Wan Ni has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hehua Dai, Zhenhua Dai, Fusheng Wan, Zhenhua Dai, Yilun Wang, Ramakrishna Vankayalapati, Tao Wang, Massimo Trucco, Suzanne Bertera and Zhiwei Liu. Their work appears in journals such as The Journal of Immunology, PLoS ONE, Food Bioscience, Science China Physics Mechanics and Astronomy and International Journal for Vitamin and Nutrition Research.

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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