Hammad Rahman

602 citations
21 papers · 389 indexed · h-index 11

Hammad Rahman

20 papers receiving 382 citations

Peers

Hammad Rahman
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 52
  • Cardiology and Cardiovascular Medicine 138
  • Endocrinology, Diabetes and Metabolism 91
  • Physiology 89
  • Surgery 146
Replace Krystyna Widecka with:
Krystyna Widecka Poland
Harsha V. Ganga United States
Anna E. Garcia Whitlock United States
J.-P. Baguet France
Junichi Ohata Japan
Ioannis Andrikou Greece
Nobuo Katoh Japan
María del Carmen Fernández‐Moreno Spain
Juming Lu China
Tadeusz Dereziński Poland
Hammad Rahman relative to Krystyna Widecka Poland Krystyna Widecka's profile →
Citations per field
00.5×1.5×2.4×
Krystyna Widecka · 1×
Citations per year

Countries citing papers authored by Hammad Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Hammad Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 202321
4 201916
5 201913
6 20191
7 201921
8 201834
9 20183
10 20187
11 20182
12 201847
13 20184
14 20184
15 201837
16 20173
17 201717
18 20174
19 201713
20 201794

About Hammad Rahman

Hammad Rahman is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 389 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Acute Myocardial Infarction Research (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (52 citations), Cardiology and Cardiovascular Medicine (138 citations) and Endocrinology, Diabetes and Metabolism (91 citations). Hammad Rahman has collaborated with scholars based in United States and Pakistan. Frequent co-authors include Safi U. Khan, Edo Kaluski, Haris Riaz, Muhammad A Saleem, Swapna Talluri, Sudhakar Sattur, A. Michael Lincoff, Muhammad Shahzeb Khan, Steven E. Nissen and Nishant Shah. Their work appears in journals such as European Journal of Preventive Cardiology, Journal of the American Heart Association, Journal of clinical lipidology, Journal of the American College of Cardiology and Heart & Lung.

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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