Mark Stopfer

5.3k total citations · 1 hit paper
69 papers, 3.6k citations indexed

About

Mark Stopfer is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Mark Stopfer has authored 69 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cellular and Molecular Neuroscience, 38 papers in Sensory Systems and 22 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Mark Stopfer's work include Neurobiology and Insect Physiology Research (64 papers), Olfactory and Sensory Function Studies (38 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Mark Stopfer is often cited by papers focused on Neurobiology and Insect Physiology Research (64 papers), Olfactory and Sensory Function Studies (38 papers) and Insect and Arachnid Ecology and Behavior (13 papers). Mark Stopfer collaborates with scholars based in United States, India and Pakistan. Mark Stopfer's co-authors include Gilles Laurent, Brian H. Smith, Seetha Bhagavan, Vivek Jayaraman, Maxim Bazhenov, M. I. Rabinovich, Henry D. I. Abarbanel, Baranidharan Raman, Nitin Gupta and Joby Joseph and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark Stopfer

68 papers receiving 3.6k citations

Hit Papers

Impaired odour discrimination on desynchronization of odo... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Stopfer United States 28 2.8k 1.4k 1.1k 739 730 69 3.6k
Stefan R. Pulver United States 21 4.9k 1.8× 511 0.4× 1.9k 1.7× 559 0.8× 972 1.3× 45 7.1k
Ryohei Kanzaki Japan 37 2.8k 1.0× 746 0.5× 488 0.4× 741 1.0× 1.5k 2.0× 224 3.9k
Takaki Komiyama United States 35 3.3k 1.2× 911 0.6× 2.5k 2.2× 235 0.3× 327 0.4× 68 4.7k
Shawn R. Olsen United States 19 2.0k 0.7× 523 0.4× 1.4k 1.2× 429 0.6× 544 0.7× 37 2.7k
Maxim Bazhenov United States 41 3.2k 1.2× 444 0.3× 3.3k 2.9× 318 0.4× 418 0.6× 126 4.9k
Trevor J. Wardill United States 19 3.3k 1.2× 296 0.2× 1.7k 1.5× 581 0.8× 456 0.6× 35 5.4k
Ronald M. Harris‐Warrick United States 55 6.1k 2.2× 212 0.1× 2.7k 2.4× 670 0.9× 516 0.7× 132 8.6k
Michael Wehr United States 23 2.1k 0.7× 936 0.6× 3.0k 2.6× 214 0.3× 134 0.2× 43 3.8k
Thomas A. Cleland United States 33 1.8k 0.7× 1.9k 1.3× 591 0.5× 148 0.2× 326 0.4× 79 3.3k
Matt Wachowiak United States 32 3.3k 1.2× 3.3k 2.3× 734 0.6× 193 0.3× 177 0.2× 68 4.4k

Countries citing papers authored by Mark Stopfer

Since Specialization
Citations

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

Fields of papers citing papers by Mark Stopfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Stopfer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Stopfer. A scholar is included among the top collaborators of Mark Stopfer 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 Stopfer. Mark Stopfer 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
1.
Ray, Subhasis, et al.. (2024). Olfactory system structure and function in newly hatched and adult locusts. Scientific Reports. 14(1). 2608–2608. 1 indexed citations
2.
Ray, Subhasis, et al.. (2023). Innate attraction and aversion to odors in locusts. PLoS ONE. 18(7). e0284641–e0284641. 3 indexed citations
3.
Ray, Subhasis & Mark Stopfer. (2021). Argos: A toolkit for tracking multiple animals in complex visual environments. Methods in Ecology and Evolution. 13(3). 585–595. 8 indexed citations
4.
Assisi, Collins, Mark Stopfer, & Maxim Bazhenov. (2020). Optimality of sparse olfactory representations is not affected by network plasticity. PLoS Computational Biology. 16(2). e1007461–e1007461. 6 indexed citations
5.
Reiter, Sam, et al.. (2015). Spatiotemporal Coding of Individual Chemicals by the Gustatory System. Journal of Neuroscience. 35(35). 12309–12321. 38 indexed citations
6.
Huston, Stephen J, Mark Stopfer, Stijn Cassenaer, Zane Aldworth, & Gilles Laurent. (2015). Neural Encoding of Odors during Active Sampling and in Turbulent Plumes. Neuron. 88(2). 403–418. 32 indexed citations
7.
Aldworth, Zane & Mark Stopfer. (2015). Trade-Off between Information Format and Capacity in the Olfactory System. Journal of Neuroscience. 35(4). 1521–1529. 10 indexed citations
8.
Murase, Sachiko, Eun‐Young Kim, Nitin Gupta, et al.. (2015). Matrix Metalloproteinase-9 Regulates Neuronal Circuit Development and Excitability. Molecular Neurobiology. 53(5). 3477–3493. 28 indexed citations
9.
Gupta, Nitin & Mark Stopfer. (2014). A Temporal Channel for Information in Sparse Sensory Coding. Current Biology. 24(19). 2247–2256. 27 indexed citations
10.
Shimizu, Kazumichi & Mark Stopfer. (2013). Gap junctions. Current Biology. 23(23). R1026–R1031. 27 indexed citations
11.
Aldworth, Zane & Mark Stopfer. (2012). Olfactory Coding: Tagging and Tuning Odor-Activated Synapses for Memory. Current Biology. 22(7). R227–R229. 4 indexed citations
12.
Assisi, Collins, Mark Stopfer, & Maxim Bazhenov. (2012). Excitatory Local Interneurons Enhance Tuning of Sensory Information. PLoS Computational Biology. 8(7). e1002563–e1002563. 13 indexed citations
13.
Ong, Robert C. & Mark Stopfer. (2012). Peripheral and Central Olfactory Tuning in a Moth. Chemical Senses. 37(5). 455–461. 6 indexed citations
14.
Gupta, Nitin & Mark Stopfer. (2011). Olfactory Coding: Giant Inhibitory Neuron Governs Sparse Odor Codes. Current Biology. 21(13). R504–R506. 4 indexed citations
15.
Gupta, Nitin & Mark Stopfer. (2011). Insect olfactory coding and memory at multiple timescales. Current Opinion in Neurobiology. 21(5). 768–773. 14 indexed citations
16.
Assisi, Collins, Mark Stopfer, & Maxim Bazhenov. (2011). Using the Structure of Inhibitory Networks to Unravel Mechanisms of Spatiotemporal Patterning. Neuron. 69(2). 373–386. 29 indexed citations
17.
Raman, Baranidharan & Mark Stopfer. (2008). Olfactory Coding: Non-Linear Amplification Separates Smells. Current Biology. 18(1). R29–R32. 3 indexed citations
18.
Ito, Iori, Rose Ong, Baranidharan Raman, & Mark Stopfer. (2008). Sparse odor representation and olfactory learning. Nature Neuroscience. 11(10). 1177–1184. 100 indexed citations
19.
Joseph, Joby, et al.. (2005). Encoding a temporally structured stimulus with a temporally structured neural representation. Nature Neuroscience. 8(11). 1568–1576. 121 indexed citations
20.
Stopfer, Mark & Gilles Laurent. (1999). Short-term memory in olfactory network dynamics. Nature. 402(6762). 664–668. 200 indexed citations

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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