Ting Shi

13.2k citations
93 papers · 2.4k indexed · 2 hit papers · h-index 22
Topics
Respiratory viral infections research (26 papers)Pneumonia and Respiratory Infections (15 papers)COVID-19 Clinical Research Studies (13 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaStroke

In The Last Decade

Ting Shi

81 papers receiving 2.3k citations

Hit Papers

Global, regional, and national estimates of pneumonia mor...201820262020202320182022100200300400

Peers

Ting Shi
Comparison fields: 5 of 151
  • Epidemiology 1.3k
  • Infectious Diseases 621
  • Pulmonary and Respiratory Medicine 547
  • Molecular Biology 241
  • Surgery 215
Replace Gregorio P. Milani with:
Gregorio P. Milani Italy
Massimiliano Raponi Italy
Marcello Covino Italy
Mark W. Hall United States
Florian Mayr United States
Qing Ai China
Marcello Candelli Italy
Pingsheng Wu United States
Anne C. M. Thiébaut France
Ilan Youngster Israel
Ting Shi relative to Gregorio P. Milani Italy Gregorio P. Milani's profile →
Citations per field
00.5×1.5×2.5×
Gregorio P. Milani · 1×
Citations per year

Countries citing papers authored by Ting Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ting Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Shi. A scholar is included among the top collaborators of Ting Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Shi. Ting Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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Respiratory syncytial virus disease burden in adults aged 60 years and older in high‐income countries: A systematic literature review and meta‐analysisbreakdown →
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13 21
14 3
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18 76
19 175
20 27

About Ting Shi

Ting Shi is a scholar working on Infectious Diseases, Epidemiology and Emergency Medicine, having authored 93 papers that have together received 2.4k indexed citations. Recurring topics across this work include Respiratory viral infections research (26 papers), Pneumonia and Respiratory Infections (15 papers) and COVID-19 Clinical Research Studies (13 papers). The work is most often cited by research in Epidemiology (1.3k citations), Infectious Diseases (621 citations) and Critical Care and Intensive Care Medicine (112 citations). Ting Shi has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Harish Nair, Harry Campbell, John Burrows, Kenneth A McLean, Miloje Savic, Angela R Branche, Jean‐Yves Pirçon, Yolanda Penders, Evelyn Balsells and Igor Rudan. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Stroke.

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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