Ge Tao

2.7k citations
60 papers · 2.0k indexed · h-index 19

Impact in

Papers in

    • Parasites and Host Interactions 5
    • Hemoglobinopathies and Related Disorders 6

Ge Tao

56 papers receiving 1.9k citations

Peers

Ge Tao
Comparison fields: 5 of 108
  • Cell Biology 364
  • Cardiology and Cardiovascular Medicine 473
  • Molecular Biology 1.1k
  • Cancer Research 194
  • Pulmonary and Respiratory Medicine 306
Replace Tatiana I. Novobrantseva with:
Tatiana I. Novobrantseva United States
Joyce A. Schroeder United States
Cornel Badorff Germany
Nadine Nagy United States
Mohamed H. Abdel‐Rahman United States
Carolyn A. Cuff United States
Curtis B. Thompson United States
Hong Peng China
Krizia Sagini Italy
Atsushi Tanemura Japan
Ge Tao relative to Tatiana I. Novobrantseva United States Tatiana I. Novobrantseva's profile →
Citations per field
00.5×2.8×
Tatiana I. Novobrantseva · 1×
Citations per year

Countries citing papers authored by Ge Tao

Since Specialization
Citations

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

Fields of papers citing papers by Ge Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202416
4 20232
5 20234
6 20231
7 20234
8 20231
9 20214
10 202110
11 201926
12 20192
13 201833
14 20169
15 201636
16 201580
17 201474
18 20142
19 201142
20 199322

About Ge Tao

Ge Tao is a scholar working on Parasitology, Genetics, Cardiology and Cardiovascular Medicine, Cancer Research and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Congenital heart defects research (13 papers), Cardiac Valve Diseases and Treatments (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Parasites and Host Interactions (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Lung Cancer Research Studies (4 papers), Cancer-related molecular mechanisms research (3 papers) and Aortic Disease and Treatment Approaches (3 papers). The work is most often cited by research in Cell Biology (364 citations), Cardiology and Cardiovascular Medicine (473 citations), Molecular Biology (1.1k citations), Cancer Research (194 citations) and Pulmonary and Respiratory Medicine (306 citations). Ge Tao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include James F. Martin, Yuka Morikawa, Todd R. Heallen, Joy Lincoln, John P. Leach, James T. Willerson, Randy L. Johnson, Min Zhang, Agata Levay and Jacqueline D. Peacock. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Blood, Circulation Research, Developmental Biology and Biology of Blood and Marrow Transplantation.

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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