Run Dong

439 citations
25 papers · 262 · 1 hit paper · h-index 9

Impact in

Papers in

Run Dong

21 papers receiving 260 citations

Run Dong's Hit Papers

National incidence and mortality of hospitalized sepsis in China 2023 · 81 citations
810+1+2Years since publication255075

Peers

Run Dong
Comparison fields: 5 of 66
  • Critical Care and Intensive Care Medicine 29
  • Family Practice 11
  • Pulmonary and Respiratory Medicine 105
  • Epidemiology 91
  • Applied Microbiology and Biotechnology 3
Replace Benedetta Perna with:
Benedetta Perna Italy
Zhen-Ying Liu China
Xianyao Wan China
William Tillis United States
Friso M. de Beer Netherlands
C. Peckelsen Germany
Tom D. Y. Reijnders Netherlands
Mercedes Ibarz Spain
Paula Maurer United States
Rubén Herrán‐Monge Spain
Run Dong relative to Benedetta Perna Italy Benedetta Perna's profile →
Citations per field
00.5×10×
Benedetta Perna · 1×
Citations per year

Countries citing papers authored by Run Dong

Since Specialization
Citations

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

Fields of papers citing papers by Run Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Run Dong, 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 Run Dong Line = papers co-authored together Run Dong 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
National incidence and mortality of hospitalized sepsis in China
Hit paper breakdown →
202381
2 201928
3
Metformin ameliorates bleomycin-induced pulmonary fibrosis in mice by suppressing IGF-1.
202027
4 201922
5 201617
6 202015
7 202215
8 202010
9 20239
10 20228
11 20126
12 20236
13 20243
14 20243
15 20243
16 20242
17 20232
18 20232
19 20251
20 20241

About Run Dong

Run Dong is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Emergency Medicine and Surgery, having authored 25 papers that have together received 262 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Cardiac Arrest and Resuscitation (4 papers), Respiratory Support and Mechanisms (3 papers), Intensive Care Unit Cognitive Disorders (3 papers), Nosocomial Infections in ICU (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (29 citations), Family Practice (11 citations), Pulmonary and Respiratory Medicine (105 citations), Epidemiology (91 citations) and Applied Microbiology and Biotechnology (3 citations). Run Dong has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Huaping Dai, Huijuan Xiao, Dingyuan Jiang, Jinmin Peng, Li Weng, Bin Du, Chunyao Wang, Xiao Hu, Jing Geng and Shiyao Wang. Their work appears in journals such as Critical Care Medicine, Annals of Intensive Care, Scientific Reports, Cell Death and Disease and Antimicrobial Agents and Chemotherapy.

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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