Ami A. Shah

9.0k citations
162 papers · 5.2k indexed · h-index 40

Ami A. Shah

147 papers receiving 5.2k citations

Peers

Ami A. Shah
Comparison fields: 5 of 112
  • Pathology and Forensic Medicine 2.2k
  • Internal Medicine 399
  • Dermatology 785
  • Oncology 1.4k
  • Rheumatology 730
Replace Pierre‐Yves Hatron with:
Pierre‐Yves Hatron France
Aryeh Fischer United States
Gerard Espinosa Spain
Francesco Rodeghiero Italy
Christopher Bredeson Canada
László Czirják Hungary
I. Marie France
Philip J. Bierman United States
Brett M. Elicker United States
Roberto Stasi Italy
Ami A. Shah relative to Pierre‐Yves Hatron France Pierre‐Yves Hatron's profile →
Citations per field
00.5×6.8×
Pierre‐Yves Hatron · 1×
Citations per year

Countries citing papers authored by Ami A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Ami A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ami A. Shah. 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 Ami A. Shah. The network helps show where Ami A. Shah may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20252
5 20240
6 20240
7 20230
8 202339
9 202321
10 20232
11 20235
12 20227
13 202221
14 202012
15 201950
16 201994
17 20172
18
Abstract 11450: Comparison of Simplified (Single-beat) Estimates to Measured Right Ventricular End-Systolic Elastance and RV-Pulmonary Vascular Coupling in Patients With Pulmonary Hypertension
20141
19 2013300
20 2013182

About Ami A. Shah

Ami A. Shah is a scholar working on Pathology and Forensic Medicine, Dermatology and Internal Medicine, having authored 162 papers that have together received 5.2k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (88 papers), Inflammatory Myopathies and Dermatomyositis (42 papers), Cancer Immunotherapy and Biomarkers (23 papers), Pulmonary Hypertension Research and Treatments (21 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (20 papers), Eosinophilic Disorders and Syndromes (19 papers), Dermatologic Treatments and Research (15 papers) and Colorectal Cancer Treatments and Studies (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.2k citations), Internal Medicine (399 citations) and Dermatology (785 citations). Ami A. Shah has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Fredrick M. Wigley, Laura C. Cappelli, Clifton O. Bingham, Livia Casciola‐Rosen, Laura K. Hummers, Antony Rosen, Francesco Boin, Evan J. Lipson, Jarushka Naidoo and Julie R. Brahmer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

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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