Michael D. Hall

1.3k total citations
53 papers, 987 citations indexed

About

Michael D. Hall is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Molecular Biology. According to data from OpenAlex, Michael D. Hall has authored 53 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 19 papers in Experimental and Cognitive Psychology and 12 papers in Molecular Biology. Recurrent topics in Michael D. Hall's work include Neuroscience and Music Perception (13 papers), Multisensory perception and integration (11 papers) and Phonetics and Phonology Research (11 papers). Michael D. Hall is often cited by papers focused on Neuroscience and Music Perception (13 papers), Multisensory perception and integration (11 papers) and Phonetics and Phonology Research (11 papers). Michael D. Hall collaborates with scholars based in United States, Hong Kong and United Kingdom. Michael D. Hall's co-authors include Leonard Banaszak, Dawn G. Blasko, David G. Levitt, Cynthia M. Connine, Richard E. Pastore, Tobey J. MacDonald, Gülay Bulut, Yi-Chien Lee, Metin Özdemirli and Chris Albanese and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Michael D. Hall

50 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael D. Hall United States 15 522 227 175 121 97 53 987
Xiaohong Yang China 19 630 1.2× 179 0.8× 107 0.6× 333 2.8× 97 1.0× 68 1.4k
Christine Schröder Germany 19 370 0.7× 133 0.6× 62 0.4× 196 1.6× 9 0.1× 25 1.0k
Nicolas Bisson Canada 18 588 1.1× 173 0.8× 124 0.7× 66 0.5× 24 0.2× 47 977
James R. Erickson United States 20 894 1.7× 115 0.5× 78 0.4× 89 0.7× 6 0.1× 48 1.4k
Phung Gip United States 13 410 0.8× 219 1.0× 107 0.6× 195 1.6× 15 0.2× 15 1.3k
Atsushi Suzuki Japan 15 342 0.7× 97 0.4× 56 0.3× 92 0.8× 29 0.3× 34 810
T. Otto Germany 26 489 0.9× 495 2.2× 246 1.4× 326 2.7× 32 0.3× 116 2.0k
Qianqian Guo China 22 451 0.9× 39 0.2× 64 0.4× 207 1.7× 104 1.1× 58 1.4k
Anne Danielsen Norway 18 142 0.3× 317 1.4× 70 0.4× 24 0.2× 4 0.0× 69 990

Countries citing papers authored by Michael D. Hall

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Hall. 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 Michael D. Hall. The network helps show where Michael D. Hall may publish in the future.

Co-authorship network of co-authors of Michael D. Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Hall. A scholar is included among the top collaborators of Michael D. Hall 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 Michael D. Hall. Michael D. Hall 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.
Grundy, Martin, Claire Seedhouse, Michael D. Hall, et al.. (2018). Predicting effective pro-apoptotic anti-leukaemic drug combinations using co-operative dynamic BH3 profiling. PLoS ONE. 13(1). e0190682–e0190682. 14 indexed citations
2.
Hall, Michael D., et al.. (2017). Mesoderm-specific Stat3 deletion affects expression of Sox9 yielding Sox9-dependent phenotypes. PLoS Genetics. 13(2). e1006610–e1006610. 30 indexed citations
3.
Marshall, Stephen, et al.. (2016). Simulating rivers in the good dinosaur. 1–1. 3 indexed citations
4.
Tanigawa, Shunsuke, Nirmala Sharma, Michael D. Hall, Ryuichi Nishinakamura, & Alan O. Perantoni. (2015). Preferential Propagation of Competent SIX2+ Nephronic Progenitors by LIF/ROCKi Treatment of the Metanephric Mesenchyme. Stem Cell Reports. 5(3). 435–447. 28 indexed citations
5.
Beauchamp, Elspeth M., Lymor Ringer, Gülay Bulut, et al.. (2010). Arsenic trioxide inhibits human cancer cell growth and tumor development in mice by blocking Hedgehog/GLI pathway. Journal of Clinical Investigation. 121(1). 148–160. 274 indexed citations
6.
Sahab, Ziad J., Michael D. Hall, Lihua Zhang, Amrita K. Cheema, & Stephen W. Byers. (2010). Tumor Suppressor RARRES1 Regulates DLG2, PP2A, VCP, EB1, and Ankrd26. Journal of Cancer. 1. 14–22. 27 indexed citations
7.
Hall, Michael D. & James W. Beauchamp. (2009). Clarifying spectral and temporal dimensions of musical instrument timbre. Canadian acoustics. 37(1). 3–22. 6 indexed citations
8.
Watts, Christopher R. & Michael D. Hall. (2008). Timbral influences on vocal pitch-matching accuracy. Logopedics Phoniatrics Vocology. 33(2). 74–82. 22 indexed citations
9.
Hall, Michael D. & Dawn G. Blasko. (2005). Attentional Interference in Judgments of Musical Timbre: Individual Differences in Working Memory. The Journal of General Psychology. 132(1). 94–112. 6 indexed citations
10.
Hall, Michael D., et al.. (2003). Illusory conjunctions of musical pitch and timbre. 4(3). 65–70. 2 indexed citations
11.
Thompson, William Forde, Michael D. Hall, & Jeff Pressing. (2001). Illusory conjunctions of pitch and duration in unfamiliar tone sequences.. Journal of Experimental Psychology Human Perception & Performance. 27(1). 128–140. 23 indexed citations
12.
Hall, Michael D., et al.. (2000). Evidence for auditory feature integration with spatially distributed items. Perception & Psychophysics. 62(6). 1243–1257. 41 indexed citations
13.
Blasko, Dawn G. & Michael D. Hall. (1998). Influence of Prosodic Boundaries on Comprehension of Spoken English Sentences. Perceptual and Motor Skills. 87(1). 3–18. 14 indexed citations
14.
Hall, Michael D.. (1996). Leaving home : a conducted tour of twentieth-century music with Simon Rattle. Faber and Faber eBooks. 4 indexed citations
15.
Pastore, Richard E., et al.. (1995). Within-category discrimination of musical chords: Perceptual magnet or anchor?. Perception & Psychophysics. 57(6). 863–874. 16 indexed citations
16.
Earhart, C.A., Michael D. Hall, Isabelle Michaud‐Soret, Lawrence Que, & D.H. Ohlendorf. (1994). Crystallization of Catechol-1,2 Dioxygenase from Pseudomonas arvilla C-1. Journal of Molecular Biology. 236(1). 377–378. 8 indexed citations
17.
Hall, Michael D. & Richard E. Pastore. (1992). Musical duplex perception: Perception of figurally good chords with subliminal distinguishing tones.. Journal of Experimental Psychology Human Perception & Performance. 18(3). 752–762. 9 indexed citations
18.
Hall, Michael D., David G. Levitt, & Leonard Banaszak. (1992). Crystal structure of Escherichia coli malate dehydrogenase. Journal of Molecular Biology. 226(3). 867–882. 96 indexed citations
19.
Hall, Michael D., et al.. (1991). Purification and crystallization of recombinant Escherichia coli malate dehydrogenase. Journal of Molecular Biology. 220(3). 551–553. 8 indexed citations
20.
Hall, Michael D. & Richard E. Pastore. (1991). Musical duplex perception: Does perceptual dominance reflect general principles or specialized modules?. The Journal of the Acoustical Society of America. 89(4B_Supplement). 1936–1936. 1 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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