G. Gan

636 citations
44 papers · 370 indexed · h-index 10

Impact in

Papers in

G. Gan

36 papers receiving 361 citations

Peers

G. Gan
Comparison fields: 5 of 47
  • Cardiology and Cardiovascular Medicine 325
  • Radiology, Nuclear Medicine and Imaging 159
  • Nephrology 15
  • Internal Medicine 7
  • Surgery 48
Replace Luigi Emilio Pastormerlo with:
Luigi Emilio Pastormerlo Italy
Maarten-Jan Cramer Netherlands
Nicholas D’Elia Australia
André Paixão United States
Takuma Sawa Japan
Agustín Fernández‐Cisnal Spain
Juan J. Fuselli Argentina
Juan P. Címbaro Canella Argentina
Mónica Brizuela Argentina
İlknur Can Türkiye
G. Gan relative to Luigi Emilio Pastormerlo Italy Luigi Emilio Pastormerlo's profile →
Citations per field
00.5×1.5×1.8×
Luigi Emilio Pastormerlo · 1×
Citations per year

Countries citing papers authored by G. Gan

Since Specialization
Citations

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

Fields of papers citing papers by G. Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018114
2 202038
3 202120
4 202215
5 202015
6 202015
7 202212
8 202011
9 201210
10 202010
11 20239
12 20209
13 20169
14 20218
15 20208
16 20198
17 20157
18 20237
19 20156
20 20216

About G. Gan

G. Gan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Nephrology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 370 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (19 papers), Cardiac Imaging and Diagnostics (15 papers), Atrial Fibrillation Management and Outcomes (14 papers), Cardiac Structural Anomalies and Repair (8 papers), Cardiac Arrhythmias and Treatments (7 papers), Viral Infections and Immunology Research (6 papers), Cardiovascular Effects of Exercise (6 papers) and Takotsubo Cardiomyopathy and Associated Phenomena (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (325 citations), Radiology, Nuclear Medicine and Imaging (159 citations), Nephrology (15 citations), Internal Medicine (7 citations) and Surgery (48 citations). G. Gan has collaborated with scholars based in Australia, Brazil and Sweden. Frequent co-authors include Liza Thomas, A. Bhat, Anita Boyd, Timothy C. Tan, S. Eshoo, Karen Byth, K. Kadappu, A. Robert Denniss, C. Raina MacIntyre and Arnav Gupta. Their work appears in journals such as Journal of the American Society of Echocardiography, European Journal of Clinical Investigation, The American Journal of Cardiology, Heart Lung and Circulation and Journal of Hypertension.

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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