Mark F. Yeckel

3.1k citations
25 papers · 2.4k indexed · 1 hit paper · h-index 21
Topics
Neuroscience and Neuropharmacology Research (19 papers)Memory and Neural Mechanisms (11 papers)Ion channel regulation and function (4 papers)

In The Last Decade

Mark F. Yeckel

25 papers receiving 2.4k citations

Hit Papers

Requirement for Hippocampal CA3 NMDA Receptors in Associa...20022026201020182002250500750

Peers

Mark F. Yeckel
Comparison fields: 5 of 89
  • Cellular and Molecular Neuroscience 1.9k
  • Cognitive Neuroscience 1.3k
  • Molecular Biology 808
  • Neurology 268
  • Developmental Neuroscience 185
Replace Tomonori Takeuchi with:
Tomonori Takeuchi Japan
Steven A. Siegelbaum United States
Isao Ito Japan
Alberto Bacci Italy
Daniel A. Nicholson United States
Roberto De Pasquale United States
Arnold J. Heynen United States
Raphael Lamprecht Israel
Gloria E. Meredith United States
Asim J. Rashid Canada
Mark F. Yeckel relative to Tomonori Takeuchi Japan Tomonori Takeuchi's profile →
Citations per field
00.5×1.5×
Tomonori Takeuchi · 1×
Citations per year

Countries citing papers authored by Mark F. Yeckel

Since Specialization
Citations

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

Fields of papers citing papers by Mark F. Yeckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark F. Yeckel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark F. Yeckel. A scholar is included among the top collaborators of Mark F. Yeckel 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 F. Yeckel. Mark F. Yeckel 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 18
2 22
3 55
4 13
5 60
6 87
7 54
8 30
9 10
10 117
11 95
12 14
13 40
14 21
15
Requirement for Hippocampal CA3 NMDA Receptors in Associative Memory Recallbreakdown →
802
16 77
17 254
18 66
19 29
20 26

About Mark F. Yeckel

Mark F. Yeckel is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Memory and Neural Mechanisms (11 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.9k citations), Cognitive Neuroscience (1.3k citations) and Developmental Neuroscience (185 citations). Mark F. Yeckel has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Daniel Johnston, Theodore W. Berger, A. Kapur, C. A. Carr, Akira Kato, Raymond A. Chitwood, Matthew A. Wilson, Kazu Nakazawa, Susumu Tonegawa and Masahiko Watanabe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

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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