Robert B. Good

1.2k citations
9 papers · 713 indexed · 1 hit paper · h-index 8

Robert B. Good

9 papers receiving 704 citations

Hit Papers

Endothelial to Mesenchymal Transition Contributes to Endo...274201520262018202250100150200250

Peers

Robert B. Good
Comparison fields: 5 of 74
  • Pulmonary and Respiratory Medicine 468
  • Cardiology and Cardiovascular Medicine 162
  • Cancer Research 73
  • Pathology and Forensic Medicine 70
  • Molecular Biology 237
Replace Óscar Busnadiego with:
Óscar Busnadiego Spain
Matteo Trucco United States
Dominique Fournier Canada
Lukasz Stawski United States
Thomas E. Palmer United States
Hernan G. Vasquez United States
Nokitaka Setsu Japan
Xiang Feng China
Blandine Dizier France
Ikuji Hatamura Japan
Robert B. Good relative to Óscar Busnadiego Spain Óscar Busnadiego's profile →
Citations per field
00.5×1.5×2.4×
Óscar Busnadiego · 1×
Citations per year

Countries citing papers authored by Robert B. Good

Since Specialization
Citations

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

Fields of papers citing papers by Robert B. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Good. 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 Robert B. Good. The network helps show where Robert B. Good may publish in the future.

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 202029
2 201918
3 201920
4 201538
5
Endothelial to Mesenchymal Transition Contributes to Endothelial Dysfunction in Pulmonary Arterial Hypertensionbreakdown →
2015274
6 201355
7 20121
8 2011205
9 199773

About Robert B. Good

Robert B. Good is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology, Reproductive Medicine, Pathology and Forensic Medicine and Genetics, having authored 9 papers that have together received 713 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper), Fibroblast Growth Factor Research (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (468 citations), Cardiology and Cardiovascular Medicine (162 citations), Cancer Research (73 citations), Pathology and Forensic Medicine (70 citations) and Molecular Biology (237 citations). Robert B. Good has collaborated with scholars based in United Kingdom, Switzerland and Denmark. Frequent co-authors include Alan Holmes, Christopher P. Denton, Sarah L. Trinder, A Gilbane, David Abraham, Gerry Coghlan, Matthew J. Thomas, Nicholas Duggan, Olivier Bonneau and Martin Hussey. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Skeletal Radiology, The CRISPR Journal, Respiratory Research and American Journal Of Pathology.

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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