Runling Zhang

460 citations
14 papers · 288 · h-index 7

Impact in

Papers in

    • RNA Interference and Gene Delivery 1
    • SARS-CoV-2 detection and testing 2
    • Viral gastroenteritis research and epidemiology 2
    • Parvovirus B19 Infection Studies 1

Runling Zhang

13 papers receiving 283 citations

Peers

Runling Zhang
Comparison fields: 5 of 48
  • Cancer Research 66
  • Infectious Diseases 75
  • Oncology 61
  • Molecular Biology 164
  • Biological Psychiatry 4
Replace Vanessa Andries with:
Vanessa Andries Belgium
Viola Števurková Slovakia
Shuang Chen China
Deepti Mathur United States
Romy Aarnoutse Netherlands
Karthikeyan Pethusamy India
Kejing Yan China
Zhixiang Xu China
Karolina Gołąbek Poland
Ayesha Dhillon-LaBrooy Germany
Runling Zhang relative to Vanessa Andries Belgium Vanessa Andries's profile →
Citations per field
00.5×4.7×
Vanessa Andries · 1×
Citations per year

Countries citing papers authored by Runling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Runling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019113
2 202053
3 202140
4 202023
5 202022
6 202115
7 201910
8 20204
9 20212
10 20212
11 20202
12 20211
13 20201
14 20250

About Runling Zhang

Runling Zhang is a scholar working on Molecular Biology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Cancer Research and Pathology and Forensic Medicine, having authored 14 papers that have together received 288 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (4 papers), Fetal and Pediatric Neurological Disorders (2 papers), SARS-CoV-2 detection and testing (2 papers), Viral gastroenteritis research and epidemiology (2 papers), MicroRNA in disease regulation (2 papers), Cancer Genomics and Diagnostics (1 paper), Parvovirus B19 Infection Studies (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Cancer Research (66 citations), Infectious Diseases (75 citations), Oncology (61 citations), Molecular Biology (164 citations) and Biological Psychiatry (4 citations). Runling Zhang has collaborated with scholars based in China. Frequent co-authors include Jinming Li, Jiping Shi, Jingyan Xie, Jing Zhou, Shuli Zhao, Jingyun Zhang, Qingling Wang, Rui Zhang, Dandan Li and Jie Wang. Their work appears in journals such as Journal of Clinical Laboratory Analysis, Virus Research, Clinica Chimica Acta, Clinical Chemistry and International Journal of Infectious Diseases.

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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