Mark W. Albers

8.8k citations
53 papers · 5.2k indexed · 2 hit papers · h-index 32
Topics
Olfactory and Sensory Function Studies (19 papers)Signaling Pathways in Disease (16 papers)Advanced Chemical Sensor Technologies (12 papers)

In The Last Decade

Mark W. Albers

52 papers receiving 5.1k citations

Hit Papers

A mammalian protein targeted by G1-arresting rapamycin–re...19942026200420151994202150010001.5k

Peers

Mark W. Albers
Comparison fields: 5 of 142
  • Molecular Biology 3.2k
  • Immunology 874
  • Oncology 851
  • Sensory Systems 788
  • Biomedical Engineering 580
Replace Tamás Szabó with:
Tamás Szabó Hungary
Geert Bultynck Belgium
Paola Pizzo Italy
Danilo Guerini Switzerland
T. Kendall Harden United States
Rosa Puertollano United States
Ying Luo China
Oleg V. Gerasimenko United Kingdom
György Szabadkai Italy
Mark W. Albers relative to Tamás Szabó Hungary Tamás Szabó's profile →
Citations per field
00.5×4.1×
Tamás Szabó · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 21
3 3
4 2
5 29
6 112
7
Machine learning identifies candidates for drug repurposing in Alzheimer’s diseasebreakdown →
181
8 36
9 5
10 15
11 63
12 95
13 42
14 7
15 192
16 41
17 14
18 128
19 55
20 484

About Mark W. Albers

Mark W. Albers is a scholar working on Sensory Systems, Neurology and Immunology, having authored 53 papers that have together received 5.2k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (19 papers), Signaling Pathways in Disease (16 papers) and Advanced Chemical Sensor Technologies (12 papers). The work is most often cited by research in Sensory Systems (788 citations), Molecular Biology (3.2k citations) and Immunology (874 citations). Mark W. Albers has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Nature, Science and Cell.

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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