Junli Wang

955 citations
26 papers · 725 · h-index 12

Impact in

Papers in

    • Bone and Dental Protein Studies 3
    • dental development and anomalies 3
    • Receptor Mechanisms and Signaling 2
    • RNA modifications and cancer 2

Junli Wang

25 papers receiving 707 citations

Peers

Junli Wang
Comparison fields: 5 of 89
  • Physiology 314
  • Endocrine and Autonomic Systems 219
  • Neurology 49
  • Cellular and Molecular Neuroscience 88
  • Genetics 32
Replace Edward Touma with:
Edward Touma United States
Rebecca A. Worthington Australia
Nathalie Suarez Gonzalez Belgium
Petra Heine Germany
Jeff M. Labasi United States
Alice M. McGlinn United States
Alessia Franceschini Italy
Sonoko Furuya Japan
Vanessa Fernandes Arnaud-Sampaio Brazil
Roberta Andrejew Brazil
Junli Wang relative to Edward Touma United States Edward Touma's profile →
Citations per field
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Edward Touma · 1×
Citations per year

Countries citing papers authored by Junli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996376
2 202257
3 201943
4 201335
5 201332
6 202324
7 201417
8 201316
9 201716
10 201615
11 201315
12 199713
13 201712
14 202512
15 20139
16 20237
17 20165
18 20145
19
[Impacts of aluminum on sperm quality and sperm mitochondria in male rats].
20195
20 20253

About Junli Wang

Junli Wang is a scholar working on Rheumatology, Molecular Biology, Infectious Diseases, Immunology and Epidemiology, having authored 26 papers that have together received 725 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), dental development and anomalies (3 papers), Bone and Dental Protein Studies (3 papers), Receptor Mechanisms and Signaling (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Physiology (314 citations), Endocrine and Autonomic Systems (219 citations), Neurology (49 citations), Cellular and Molecular Neuroscience (88 citations) and Genetics (32 citations). Junli Wang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include R. Elde, Ulf Arvidsson, Maureen S. Riedl, Lucy Vulchanova, Annmarie Surprenant, Richard Alan North, Gary N. Buell, Yujin Tang, Mao‐Shui Wang and Ye‐Sheng Wei. Their work appears in journals such as DNA and Cell Biology, Journal of Investigative Medicine, Molecular Biology Reports, Chinese Chemical Letters and Journal of Infection.

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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