Tian Gu

61 total papers · 1.4k total citations
30 papers, 586 citations indexed

About

Tian Gu is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, Tian Gu has authored 30 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Tian Gu's work include COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Tian Gu is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), COVID-19 and healthcare impacts (4 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers). Tian Gu collaborates with scholars based in United States, China and Netherlands. Tian Gu's co-authors include Bhramar Mukherjee, Lars G. Fritsche, Thomas S. Valley, Lynda D. Lisabeth, Maxwell Salvatore, Sachin Kheterpal, Karandeep Singh, Jasmine A. Mack, Brahmajee K. Nallamothu and Susan Murray and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and Biometrics.

In The Last Decade

Tian Gu

27 papers receiving 577 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tian Gu 225 115 92 84 78 30 586
Chi‐Jeng Hsieh 204 0.9× 76 0.7× 42 0.5× 123 1.5× 43 0.6× 33 667
Shahida Shahrir 235 1.0× 121 1.1× 101 1.1× 154 1.8× 169 2.2× 27 633
Vito D’Agnano 166 0.7× 200 1.7× 85 0.9× 108 1.3× 84 1.1× 38 686
Omer Al‐Taan 99 0.4× 83 0.7× 63 0.7× 99 1.2× 53 0.7× 37 574
Mette Reilev 107 0.5× 226 2.0× 34 0.4× 103 1.2× 81 1.0× 35 620
Qiao Huang 162 0.7× 63 0.5× 27 0.3× 113 1.3× 68 0.9× 32 673
Xiaohui Sun 143 0.6× 68 0.6× 20 0.2× 53 0.6× 129 1.7× 49 656
Brody H. Foy 181 0.8× 214 1.9× 132 1.4× 105 1.3× 103 1.3× 31 684
Ángel Salgado‐Barreira 163 0.7× 75 0.7× 55 0.6× 62 0.7× 79 1.0× 71 664
Ayelign Mengesha Kassie 60 0.3× 141 1.2× 26 0.3× 67 0.8× 95 1.2× 32 552

Countries citing papers authored by Tian Gu

Since Specialization
Citations

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

Fields of papers citing papers by Tian Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tian Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Tian Gu. A scholar is included among the top collaborators of Tian Gu 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 Tian Gu. Tian Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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