Kaniz Fatema

210 total papers · 2.4k total citations
123 papers, 1.5k citations indexed

About

Kaniz Fatema is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kaniz Fatema has authored 123 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 18 papers in Endocrinology, Diabetes and Metabolism and 16 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kaniz Fatema's work include Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Global Maternal and Child Health (8 papers) and COVID-19 Clinical Research Studies (6 papers). Kaniz Fatema is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Global Maternal and Child Health (8 papers) and COVID-19 Clinical Research Studies (6 papers). Kaniz Fatema collaborates with scholars based in Bangladesh, United States and Australia. Kaniz Fatema's co-authors include Sadia Tasneem, Joseph T. Lariscy, Liaquat Ali, Kent R. Bailey, Teresa S.M. Tsang, Marion E. Barnes, James B. Seward, Bernard J. Gersh, Hasina Akhter Chowdhury and Martin Osranek and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Kaniz Fatema

103 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kaniz Fatema 477 206 199 169 164 123 1.5k
Zhi‐Chun Gu 575 1.2× 101 0.5× 184 0.9× 201 1.2× 49 0.3× 146 2.2k
Karice Hyun 872 1.8× 134 0.7× 134 0.7× 97 0.6× 38 0.2× 106 1.7k
Hsin‐Jen Chen 200 0.4× 70 0.3× 233 1.2× 186 1.1× 71 0.4× 81 1.8k
Oriana Ciani 335 0.7× 70 0.3× 254 1.3× 42 0.2× 122 0.7× 119 2.3k
Nicholas J. Ollberding 218 0.5× 53 0.3× 458 2.3× 115 0.7× 89 0.5× 131 2.1k
Chien‐Yeh Hsu 87 0.2× 124 0.6× 142 0.7× 136 0.8× 128 0.8× 114 1.7k
Shuang Hu 455 1.0× 324 1.6× 235 1.2× 117 0.7× 184 1.1× 87 2.1k
Fernando Antoñanzas 269 0.6× 92 0.4× 409 2.1× 280 1.7× 100 0.6× 147 2.4k
Farhad Fatehi 186 0.4× 66 0.3× 169 0.8× 179 1.1× 44 0.3× 107 2.1k
Oladimeji Akeem Bolarinwa 171 0.4× 23 0.1× 149 0.7× 41 0.2× 159 1.0× 73 1.5k

Countries citing papers authored by Kaniz Fatema

Since Specialization
Citations

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

Fields of papers citing papers by Kaniz Fatema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaniz Fatema

This figure shows the co-authorship network connecting the top 25 collaborators of Kaniz Fatema. A scholar is included among the top collaborators of Kaniz Fatema based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaniz Fatema. Kaniz Fatema is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026