Haseeb Jafri

563 citations
11 papers · 409 indexed · h-index 6

Haseeb Jafri

9 papers receiving 403 citations

Peers

Haseeb Jafri
Comparison fields: 5 of 78
  • Cancer Research 129
  • Endocrinology, Diabetes and Metabolism 98
  • Statistics and Probability 37
  • Cardiology and Cardiovascular Medicine 98
  • Surgery 185
Replace Panpan Wang with:
Panpan Wang China
Josephina G. Kuiper Netherlands
Anja Schiel Norway
Wendy C. Taddei‐Peters United States
Hayley Bennett United Kingdom
SG Thompson United Kingdom
Krzysztof Dyrbuś Poland
Paul J. Dluzniewski United States
Katya L Masconi South Africa
Andrew Woolston United Kingdom
Haseeb Jafri relative to Panpan Wang China Panpan Wang's profile →
Citations per field
00.5×2.7×
Panpan Wang · 1×
Citations per year

Countries citing papers authored by Haseeb Jafri

Since Specialization
Citations

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

Fields of papers citing papers by Haseeb Jafri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Haseeb Jafri, 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 Haseeb Jafri Line = papers co-authored together Haseeb Jafri links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20150
2 20125
3 20120
4 2012145
5 20111
6 2010129
7 201021
8 201079
9
Abstract 857: High-Density Lipoprotein Cholesterol Levels Are Inversely Associated With Cancer Risk
20091
10 20093
11 200825

About Haseeb Jafri

Haseeb Jafri is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 11 papers that have together received 409 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Cancer, Lipids, and Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Healthcare Policy and Management (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Cardiac pacing and defibrillation studies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Cancer Research (129 citations), Endocrinology, Diabetes and Metabolism (98 citations) and Statistics and Probability (37 citations). Haseeb Jafri has collaborated with scholars based in United States and United Arab Emirates. Frequent co-authors include Richard H. Karas, Alawi Alsheikh‐Ali, Issa J Dahabreh, Jeremy A. Rassen, Georgios D. Kitsios, Vasileia Varvarigou, Thomas A Trikalinos, Mei Chung, R. Christopher Sheldrick and Jessica K. Paulus. Their work appears in journals such as Journal of the American College of Cardiology, Clinical Cardiology, Annals of Internal Medicine, European Heart Journal 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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