Mark W. Albers

99 total papers · 8.7k total citations
53 papers, 5.2k citations indexed

About

Mark W. Albers is a scholar working on Molecular Biology, Sensory Systems and Immunology. According to data from OpenAlex, Mark W. Albers has authored 53 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Sensory Systems and 14 papers in Immunology. Recurrent topics in Mark W. Albers's work include Olfactory and Sensory Function Studies (19 papers), Signaling Pathways in Disease (16 papers) and Advanced Chemical Sensor Technologies (12 papers). Mark W. Albers is often cited by papers focused on Olfactory and Sensory Function Studies (19 papers), Signaling Pathways in Disease (16 papers) and Advanced Chemical Sensor Technologies (12 papers). Mark W. Albers collaborates with scholars based in United States, United Kingdom and Germany. Mark W. Albers's co-authors include Stuart L. Schreiber, William S. Lane, Eric J. Brown, Curtis T. Keith, Lee E. Faber, Hong‐Chiang Chang, Davangere P. Devanand, Matthias H. Tabert, Thomas J. Wandless and David G. Alberg and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Mark W. Albers

52 papers receiving 5.1k citations

Hit Papers

A mammalian protein targe... 1994 2026 2004 2015 1994 2021 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Mark W. Albers 3.2k 876 852 779 577 53 5.2k
Sonia Missiroli 4.1k 1.3× 460 0.5× 336 0.4× 221 0.3× 267 0.5× 63 6.2k
Saverio Marchi 6.4k 2.0× 721 0.8× 353 0.4× 317 0.4× 355 0.6× 80 9.6k
Li Wang 2.3k 0.7× 772 0.9× 696 0.8× 170 0.2× 307 0.5× 147 5.5k
Zachary A. Knight 5.6k 1.7× 1.3k 1.5× 1.2k 1.4× 336 0.4× 150 0.3× 73 10.9k
Tamás Szabó 3.6k 1.1× 743 0.8× 204 0.2× 821 1.1× 351 0.6× 149 5.5k
Oleg V. Gerasimenko 3.0k 0.9× 583 0.7× 574 0.7× 831 1.1× 90 0.2× 92 6.3k
György Szabadkai 7.2k 2.2× 451 0.5× 512 0.6× 276 0.4× 238 0.4× 101 10.3k
Feng Zhang 1.2k 0.4× 225 0.3× 385 0.5× 405 0.5× 391 0.7× 108 3.1k
Ekaterina Shumilina 3.1k 1.0× 569 0.6× 240 0.3× 717 0.9× 140 0.2× 92 5.5k
Julian A. Simon 3.3k 1.0× 411 0.5× 711 0.8× 512 0.7× 180 0.3× 76 5.7k

Countries citing papers authored by Mark W. Albers

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Albers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Albers. 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 Mark W. Albers. The network helps show where Mark W. Albers may publish in the future.

Co-authorship network of co-authors of Mark W. Albers

This figure shows the co-authorship network connecting the top 25 collaborators of Mark W. Albers. A scholar is included among the top collaborators of Mark W. Albers 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 Mark W. Albers. Mark W. Albers 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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