Yanling Ding

626 citations
32 papers · 479 · h-index 10

Impact in

Papers in

Yanling Ding

28 papers receiving 474 citations

Peers

Yanling Ding
Comparison fields: 5 of 84
  • Biochemistry 211
  • Endocrine and Autonomic Systems 64
  • Applied Microbiology and Biotechnology 9
  • Infectious Diseases 81
  • Physiology 102
Replace Rachel A. Leslie with:
Rachel A. Leslie United States
Vincenzo Valenti Italy
Avinoam Rachmel Israel
Cynthia Lucero United States
Seung-Eun Song South Korea
Jong‐Won Kang South Korea
Nilay Thakkar United States
Deborah Johnson United Kingdom
Stefan Mustafa Austria
Angela A. Wirz United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Yanling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yanling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005211
2 201759
3 200627
4 201626
5
Asymptomatic patients of chronic obstructive pulmonary disease in China.
201022
6 201821
7 201820
8 202018
9 202014
10 202210
11 20217
12 20226
13 20246
14
[Endogenous hydrogen sulfide in patients with chronic obstructive pulmonary disease].
20054
15
[Clinical analysis of candidemia in immunocompetent patients].
20184
16 20243
17 20223
18 20193
19 20242
20 20242

About Yanling Ding

Yanling Ding is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Oncology, Surgery and Epidemiology, having authored 32 papers that have together received 479 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Pediatric health and respiratory diseases (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Asthma and respiratory diseases (2 papers), Neonatal and Maternal Infections (2 papers), Colorectal Cancer Surgical Treatments (2 papers), Neonatal Health and Biochemistry (2 papers) and Obstructive Sleep Apnea Research (2 papers). The work is most often cited by research in Biochemistry (211 citations), Endocrine and Autonomic Systems (64 citations), Applied Microbiology and Biotechnology (9 citations), Infectious Diseases (81 citations) and Physiology (102 citations). Yanling Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wan-zhen Yao, Yahong Chen, Bin Geng, Ming Lu, Chaoshu Tang, Jinjian Fu, Wei Ba, Lin Wang, Lijun Jiang and Yongjiang Jiang. Their work appears in journals such as BMC Infectious Diseases, BMJ Open, ANZ Journal of Surgery, Expert Review of Respiratory Medicine and 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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