Fred Wu

1.6k citations
41 papers · 1.1k · h-index 15

Impact in

    • Congenital Heart Disease Studies
    • Liver Disease Diagnosis and Treatment
  • Hepatology top 5%
    • Liver Disease and Transplantation

Papers in

    • Congenital Heart Disease Studies 23
    • Cardiac Structural Anomalies and Repair 7
    • Organ Transplantation Techniques and Outcomes 2

Fred Wu

37 papers receiving 1.1k citations

Peers

Fred Wu
Comparison fields: 5 of 49
  • Epidemiology 820
  • Hepatology 165
  • Cardiology and Cardiovascular Medicine 308
  • Surgery 421
  • Pulmonary and Respiratory Medicine 192
Replace Emanuele Romeo with:
Emanuele Romeo Italy
Kathryn Dodds United States
Ruben J. Acherman United States
Roberto Poscia Italy
Shigeo Yamaki Japan
Christian Gerges Austria
F.R. Pruvot France
Aali J. Sheen United Kingdom
Phillip C. Camp United States
João R. Inácio Canada
Fred Wu relative to Emanuele Romeo Italy Emanuele Romeo's profile →
Citations per field
00.5×4.2×
Emanuele Romeo · 1×
Citations per year

Countries citing papers authored by Fred Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fred Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017149
2 2013148
3 2011108
4 2016101
5 201584
6 201484
7 201568
8 201463
9 201644
10 201639
11 201430
12 201224
13 202022
14 201922
15 201822
16 201314
17 201811
18 201610
19 201410
20 20208

About Fred Wu

Fred Wu is a scholar working on Epidemiology, Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Hepatology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (23 papers), Cardiac Structural Anomalies and Repair (7 papers), Pulmonary Hypertension Research and Treatments (4 papers), Liver Disease and Transplantation (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Cardiovascular Function and Risk Factors (3 papers), Cardiovascular Issues in Pregnancy (3 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Epidemiology (820 citations), Hepatology (165 citations), Cardiology and Cardiovascular Medicine (308 citations), Surgery (421 citations) and Pulmonary and Respiratory Medicine (192 citations). Fred Wu has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Anne Marie Valente, Michael J. Landzberg, Chinweike Ukomadu, Michael G. Earing, Michael Singh, Alexander R. Opotowsky, Robert D. Odze, Gabriele Egidy Assenza, John E. Mayer and Kimberlee Gauvreau. Their work appears in journals such as Circulation, Congenital Heart Disease, The Journal of Heart and Lung Transplantation, Heart and Heart Failure Reviews.

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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