Chaobo Ni

756 citations
39 papers · 555 · h-index 16

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 3
    • Renal and related cancers 2
    • Pain Mechanisms and Treatments 10

Chaobo Ni

37 papers receiving 553 citations

Peers

Chaobo Ni
Comparison fields: 5 of 84
  • Health, Toxicology and Mutagenesis 185
  • Reproductive Medicine 59
  • Cancer Research 56
  • Pollution 38
  • Physiology 75
Replace Marika Scafuro with:
Marika Scafuro Italy
P. Venkataraman India
Xiu‐Hong Meng China
Sumonto Mitra Sweden
Han Lin China
Maria Michael Aruldhas India
Farideh Jalali Mashayekhi Iran
Atef Tadros Fahim Egypt
K. Pratap Reddy India
Chaobo Ni relative to Marika Scafuro Italy Marika Scafuro's profile →
Citations per field
00.5×1.5×
Marika Scafuro · 1×
Citations per year

Countries citing papers authored by Chaobo Ni

Since Specialization
Citations

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

Fields of papers citing papers by Chaobo Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201963
2 201845
3 201942
4 201938
5 201827
6 202127
7 202026
8 201925
9 201921
10 202120
11 201818
12 202118
13 201818
14 201918
15 202215
16 202215
17 202114
18 201813
19 201912
20 202211

About Chaobo Ni

Chaobo Ni is a scholar working on Molecular Biology, Physiology, Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health and Reproductive Medicine, having authored 39 papers that have together received 555 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Birth, Development, and Health (6 papers), Sperm and Testicular Function (4 papers), Hormonal and reproductive studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (185 citations), Reproductive Medicine (59 citations), Cancer Research (56 citations), Pollution (38 citations) and Physiology (75 citations). Chaobo Ni has collaborated with scholars based in China, Italy and Serbia. Frequent co-authors include Ren‐Shan Ge, Xiaoheng Li, Qiqi Zhu, Yiyan Wang, Yinghui Fang, Xiuxiu Chen, Qingquan Lian, Huadong Ni, Jiaying Mo and Huitao Li. Their work appears in journals such as Chemosphere, Frontiers in Pharmacology, Biochemical and Biophysical Research Communications, Environmental Pollution and Molecular Pain.

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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