Ganghong Tian

2.2k citations
67 papers · 1.5k indexed · h-index 22

Ganghong Tian

67 papers receiving 1.5k citations

Peers

Ganghong Tian
Comparison fields: 5 of 111
  • Biomaterials 297
  • Genetics 201
  • Pathology and Forensic Medicine 322
  • Developmental Neuroscience 70
  • Transplantation 43
Replace Dominique Shum‐Tim with:
Dominique Shum‐Tim Canada
Luciano C. Amado United States
Naomasa Kawaguchi Japan
Zheyong Huang China
Wesley D. Gilson United States
Christopher A. Fraker United States
David K. Glover United States
Ali Yılmaz Germany
Yoriyasu Suzuki Japan
Harry C. Lowe Australia
Ganghong Tian relative to Dominique Shum‐Tim Canada Dominique Shum‐Tim's profile →
Citations per field
00.5×8.6×
Dominique Shum‐Tim · 1×
Citations per year

Countries citing papers authored by Ganghong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Ganghong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201746
2 201714
3 201467
4 20146
5 201373
6 201328
7 2013119
8 201150
9 201045
10 201075
11 20082
12 200842
13 200623
14 200514
15 20024
16 20016
17 20007
18 19978
19 199524
20 19922

About Ganghong Tian

Ganghong Tian is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Genetics, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (24 papers), Advanced MRI Techniques and Applications (18 papers), Cardiac Imaging and Diagnostics (14 papers), Tissue Engineering and Regenerative Medicine (12 papers), Mesenchymal stem cell research (11 papers), Anesthesia and Neurotoxicity Research (10 papers), Cardiac Arrest and Resuscitation (9 papers) and Transplantation: Methods and Outcomes (9 papers). The work is most often cited by research in Biomaterials (297 citations), Genetics (201 citations) and Pathology and Forensic Medicine (322 citations). Ganghong Tian has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Bo Xiang, Darren H. Freed, Rakesh C. Arora, Benoît Simard, Arnold J. Kell, Roxanne Deslauriers, Jixian Deng, Hung‐Yu Lin, Chantal Paquet and Donald M. Leek. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, The Journal of Heart and Lung Transplantation, Journal of Molecular and Cellular Cardiology, Canadian Journal of Physiology and Pharmacology and The Annals of Thoracic Surgery.

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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