Lubna Al‐Khalili

38 total papers · 1.8k total citations
31 papers, 1.4k citations indexed

About

Lubna Al‐Khalili is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Lubna Al‐Khalili has authored 31 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Physiology and 8 papers in Cell Biology. Recurrent topics in Lubna Al‐Khalili's work include Metabolism, Diabetes, and Cancer (15 papers), Adipose Tissue and Metabolism (10 papers) and Muscle Physiology and Disorders (10 papers). Lubna Al‐Khalili is often cited by papers focused on Metabolism, Diabetes, and Cancer (15 papers), Adipose Tissue and Metabolism (10 papers) and Muscle Physiology and Disorders (10 papers). Lubna Al‐Khalili collaborates with scholars based in Sweden, United States and Spain. Lubna Al‐Khalili's co-authors include Anna Krook, Juleen R. Zierath, Karim Bouzakri, Heikki A. Koistinen, Alexander Chibalin, David Kramer, Fredrik Lönnqvist, Stephan Glund, Katja Kannisto and Firoozeh Salehzadeh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Lubna Al‐Khalili

31 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
Lubna Al‐Khalili 950 624 227 217 206 31 1.4k
Andreas M. Fritzen 736 0.8× 687 1.1× 262 1.2× 163 0.8× 248 1.2× 49 1.4k
Annie Durand 984 1.0× 766 1.2× 377 1.7× 202 0.9× 328 1.6× 25 1.7k
Kim A. Sjøberg 701 0.7× 958 1.5× 203 0.9× 161 0.7× 303 1.5× 36 1.6k
Kavithalakshmi Sataranatarajan 972 1.0× 523 0.8× 159 0.7× 159 0.7× 149 0.7× 33 1.6k
Rasmus Kjøbsted 1.1k 1.1× 879 1.4× 164 0.7× 358 1.6× 348 1.7× 36 1.6k
Anne‐Marie Lundsgaard 541 0.6× 714 1.1× 332 1.5× 145 0.7× 250 1.2× 41 1.4k
Yu‐Chiang Lai 987 1.0× 528 0.8× 293 1.3× 351 1.6× 316 1.5× 40 1.7k
Isabelle Mothe‐Satney 1.1k 1.2× 429 0.7× 188 0.8× 207 1.0× 255 1.2× 43 1.6k
Tetsuya Hosooka 816 0.9× 464 0.7× 295 1.3× 272 1.3× 219 1.1× 44 1.5k
Marcia J. Abbott 555 0.6× 680 1.1× 263 1.2× 232 1.1× 122 0.6× 26 1.2k

Countries citing papers authored by Lubna Al‐Khalili

Since Specialization
Citations

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

Fields of papers citing papers by Lubna Al‐Khalili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lubna Al‐Khalili. 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 Lubna Al‐Khalili. The network helps show where Lubna Al‐Khalili may publish in the future.

Co-authorship network of co-authors of Lubna Al‐Khalili

This figure shows the co-authorship network connecting the top 25 collaborators of Lubna Al‐Khalili. A scholar is included among the top collaborators of Lubna Al‐Khalili 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 Lubna Al‐Khalili. Lubna Al‐Khalili 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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