Amir H. Sam

2.1k citations
84 papers · 1.2k indexed · h-index 17

Amir H. Sam

75 papers receiving 1.2k citations

Peers

Amir H. Sam
Comparison fields: 5 of 131
  • Family Practice 160
  • Health Informatics 32
  • Endocrine and Autonomic Systems 145
  • Reproductive Medicine 111
  • Endocrinology, Diabetes and Metabolism 199
Replace Panagiotis Giannos with:
Panagiotis Giannos United Kingdom
Lawrence B. Afrin United States
Jacques Demotes‐Mainard France
Daniel Grandt Germany
Steven Lieberman United States
Katja Matthias Germany
Zhenxiang Zhao China
Robert S. Bowen United States
Andjela Drincic United States
H. Bart van der Worp Netherlands
Amir H. Sam relative to Panagiotis Giannos United Kingdom Panagiotis Giannos's profile →
Citations per field
00.5×10×20×30×39.3×
Panagiotis Giannos · 1×
Citations per year

Countries citing papers authored by Amir H. Sam

Since Specialization
Citations

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

Fields of papers citing papers by Amir H. Sam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amir H. Sam. 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 Amir H. Sam. The network helps show where Amir H. Sam may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20247
4 20240
5 20239
6 20234
7 20223
8 202210
9 20221
10 202139
11 20214
12 20219
13 20217
14 20208
15 20190
16 201911
17 201263
18 20109
19
Lecture notes, Endocrinology and diabetes
20090
20
Simplifying the Law in Medical Malpractice: The Use of Practice Guidelines as the Standard of Care in Medical Malpractice Litigation
19952

About Amir H. Sam

Amir H. Sam is a scholar working on Family Practice, Public Health, Environmental and Occupational Health and Health Informatics, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovations in Medical Education (44 papers), Clinical Reasoning and Diagnostic Skills (26 papers), Radiology practices and education (13 papers), Medical Education and Admissions (12 papers), Diversity and Career in Medicine (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Simulation-Based Education in Healthcare (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). The work is most often cited by research in Family Practice (160 citations), Health Informatics (32 citations) and Endocrine and Autonomic Systems (145 citations). Amir H. Sam has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Mohammad A. Ghatei, Victoria Salem, Karim Meeran, Gavin A. Bewick, Tricia Tan, R. Troke, Celia Brown, Joanne Harris, Waljit S. Dhillo and Stephen R. Bloom. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and PLoS ONE.

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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