Dongling Tang

409 citations
25 papers · 282 · h-index 10

Impact in

    • Urinary Bladder and Prostate Research
    • GDF15 and Related Biomarkers
    • Pelvic floor disorders treatments

Papers in

Dongling Tang

25 papers receiving 273 citations

Peers

Dongling Tang
Comparison fields: 5 of 61
  • Urology 23
  • Rheumatology 47
  • Applied Microbiology and Biotechnology 5
  • Infectious Diseases 42
  • Pulmonary and Respiratory Medicine 53
Replace Neha Nanda with:
Neha Nanda United States
Meir Pomeranz Israel
Chun-Nung Huang Taiwan
David Golombos United States
Paola Del Prete Italy
Simon Rodney United Kingdom
Sumir Kumar India
Wen-Rui Xie China
Shigeyuki Aoki Japan
Robert S. Lester Canada
Dongling Tang relative to Neha Nanda United States Neha Nanda's profile →
Citations per field
00.5×3.8×
Neha Nanda · 1×
Citations per year

Countries citing papers authored by Dongling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dongling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198068
2 201427
3 202126
4 202124
5 201721
6 202019
7 202013
8 202112
9 20219
10 20209
11 20098
12 20217
13 20207
14 20236
15 20236
16 20224
17
Major chromosomal abnormalities and chromosome polymorphism in 1543 couples with recurrent miscarriages in Hubei province of China
20163
18 20213
19 20242
20 20242

About Dongling Tang

Dongling Tang is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Pediatrics, Perinatology and Child Health and Immunology, having authored 25 papers that have together received 282 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (3 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Sepsis Diagnosis and Treatment (2 papers), GDF15 and Related Biomarkers (2 papers), Ferroptosis and cancer prognosis (1 paper), Galectins and Cancer Biology (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Urology (23 citations), Rheumatology (47 citations), Applied Microbiology and Biotechnology (5 citations), Infectious Diseases (42 citations) and Pulmonary and Respiratory Medicine (53 citations). Dongling Tang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Richard A. Watson, Pingan Zhang, Yuanhui Hu, Xin Cai, Yuan‐Hong Jiang, Chun‐Hou Liao, Congrong Li, Huan Li, Juanjuan Chen and Juanjuan Chen. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, The International Journal of Biological Markers, Frontiers in Medicine and New England Journal of Medicine.

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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