Skander Mulder

16 total papers · 764 total citations
9 papers, 559 citations indexed

About

Skander Mulder is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Skander Mulder has authored 9 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Epidemiology. Recurrent topics in Skander Mulder's work include Chronic Kidney Disease and Diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes Treatment and Management (3 papers). Skander Mulder is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Diabetes Treatment and Management (3 papers). Skander Mulder collaborates with scholars based in Netherlands, United States and Denmark. Skander Mulder's co-authors include Hiddo J.L. Heerspink, Paul Perco, Andreas Heinzel, Gert Mayer, Johannes Leierer, Michael K. Hansen, Wenjun Ju, Michelle J. Pena, Manjula Darshi and H.‐H. Parving and has published in prestigious journals such as Diabetologia, Journal of Medical Internet Research and Diabetes Obesity and Metabolism.

In The Last Decade

Skander Mulder

8 papers receiving 551 citations

Hit Papers

Canagliflozin reduces inf... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Skander Mulder 332 175 173 153 74 9 559
Nobuo Kajitani 338 1.0× 161 0.9× 127 0.7× 168 1.1× 68 0.9× 10 639
Komuraiah Myakala 269 0.8× 184 1.1× 216 1.2× 177 1.2× 45 0.6× 18 572
Kyoko Nitta 214 0.6× 139 0.8× 152 0.9× 244 1.6× 52 0.7× 14 585
R. Ting 231 0.7× 138 0.8× 180 1.0× 93 0.6× 129 1.7× 7 568
Ryo Kodera 370 1.1× 188 1.1× 137 0.8× 169 1.1× 65 0.9× 16 646
Brent Freeman 337 1.0× 254 1.5× 172 1.0× 162 1.1× 43 0.6× 12 500
Simon Gross 292 0.9× 136 0.8× 152 0.9× 157 1.0× 37 0.5× 8 510
Chikage Sato 288 0.9× 146 0.8× 114 0.7× 169 1.1× 50 0.7× 9 551
Hyun Wha Chung 212 0.6× 128 0.7× 138 0.8× 227 1.5× 78 1.1× 13 573
Daisho Hirota 325 1.0× 162 0.9× 103 0.6× 130 0.8× 44 0.6× 6 519

Countries citing papers authored by Skander Mulder

Since Specialization
Citations

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

Fields of papers citing papers by Skander Mulder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Skander Mulder

This figure shows the co-authorship network connecting the top 25 collaborators of Skander Mulder. A scholar is included among the top collaborators of Skander Mulder 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 Skander Mulder. Skander Mulder 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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