Mark A. Wall

1.5k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Mark A. Wall is a scholar working on Molecular Biology, Computer Networks and Communications and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark A. Wall has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Computer Networks and Communications and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Mark A. Wall's work include Glycosylation and Glycoproteins Research (1 paper), Photoreceptor and optogenetics research (1 paper) and Protein Structure and Dynamics (1 paper). Mark A. Wall is often cited by papers focused on Glycosylation and Glycoproteins Research (1 paper), Photoreceptor and optogenetics research (1 paper) and Protein Structure and Dynamics (1 paper). Mark A. Wall collaborates with scholars based in United States. Mark A. Wall's co-authors include Rama Ranganathan, Steve W. Lockless, Gürol M. Süel, Michael Socolich, Jennifer Graves, Prashant Mishra, Alvin Taurog, Aaron Kershenbaum, Mircea Podar and Kira S. Makarova and has published in prestigious journals such as Cell, Journal of Proteome Research and Thyroid.

In The Last Decade

Mark A. Wall

8 papers receiving 1.1k citations

Hit Papers

Evolutionarily conserved networks of residues mediate all... 2002 2026 2010 2018 2002 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 A. Wall United States 6 913 202 192 141 114 8 1.1k
Pawel Smialowski Germany 15 1.1k 1.2× 95 0.5× 90 0.5× 146 1.0× 116 1.0× 27 1.2k
Christian N. Parker Switzerland 21 955 1.0× 111 0.5× 118 0.6× 79 0.6× 123 1.1× 47 1.4k
Rajaraman Krishnan United States 13 1.5k 1.6× 136 0.7× 63 0.3× 255 1.8× 54 0.5× 17 1.7k
Christina Scharnagl Germany 19 696 0.8× 212 1.0× 91 0.5× 108 0.8× 24 0.2× 33 924
Dora Toledo Warshaviak United States 16 755 0.8× 146 0.7× 92 0.5× 61 0.4× 35 0.3× 20 1.1k
Taras V. Pogorelov United States 19 1.0k 1.1× 130 0.6× 51 0.3× 171 1.2× 37 0.3× 47 1.4k
François‐Xavier Cantrelle France 23 929 1.0× 178 0.9× 44 0.2× 103 0.7× 51 0.4× 71 1.4k
Chris W. Cody United States 7 819 0.9× 231 1.1× 493 2.6× 44 0.3× 197 1.7× 7 1.3k
Ansgar Wegener Germany 19 1.0k 1.1× 642 3.2× 86 0.4× 102 0.7× 32 0.3× 27 1.5k
Marie‐Claude Kilhoffer France 17 977 1.1× 111 0.5× 40 0.2× 278 2.0× 297 2.6× 38 1.5k

Countries citing papers authored by Mark A. Wall

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark A. Wall

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Wall. A scholar is included among the top collaborators of Mark A. Wall 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 A. Wall. Mark A. Wall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Podar, Mircea, Mark A. Wall, Kira S. Makarova, & Eugene V. Koonin. (2008). The prokaryotic V4R domain is the likely ancestor of a key component of the eukaryotic vesicle transport system. Biology Direct. 3(1). 2–2. 23 indexed citations
2.
Mishra, Prashant, et al.. (2007). Dynamic Scaffolding in a G Protein-Coupled Signaling System. Cell. 131(1). 80–92. 79 indexed citations
3.
Sun, Jun, et al.. (2007). On the Predictability of Protein Database Search Complexity and Its Relevance to Optimization of Distributed Searches. Journal of Proteome Research. 6(9). 3443–3448. 4 indexed citations
4.
Wall, Mark A.. (2006). The Case Study Method and Management Learning: Making the Most of a Strong Story Telling Tradition in Emergency Services Management Education. Australian Journal of Emergency Management. 21(2). 11. 4 indexed citations
5.
Süel, Gürol M., Steve W. Lockless, Mark A. Wall, & Rama Ranganathan. (2002). Evolutionarily conserved networks of residues mediate allosteric communication in proteins. Nature Structural Biology. 10(1). 59–69. 684 indexed citations breakdown →
6.
Ranganathan, Rama, Mark A. Wall, & Michael Socolich. (2000). The structural basis for red fluorescence in the tetrameric GFP homolog DsRed.. Nature Structural Biology. 7(12). 1133–1138. 272 indexed citations
7.
Taurog, Alvin & Mark A. Wall. (1998). Proximal and Distal Histidines in Thyroid Peroxidase: Relation to the Alternatively Spliced Form, TPO-2. Thyroid. 8(2). 185–191. 14 indexed citations
8.
Kershenbaum, Aaron, et al.. (1990). Network Management and Control. 17 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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