G. William Chapman

1.2k total citations
29 papers, 749 citations indexed

About

G. William Chapman is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, G. William Chapman has authored 29 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in G. William Chapman's work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (5 papers). G. William Chapman is often cited by papers focused on Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neural dynamics and brain function (5 papers). G. William Chapman collaborates with scholars based in United States, Germany and United Kingdom. G. William Chapman's co-authors include Michael E. Hasselmo, James R. Hinman, Mark P. Brandon, Florian Raudies, Andrew S. Alexander, Jason R. Climer, James P. LaPolla, Richard E. Buller, Deborah Turner and H. E. Thompson and has published in prestigious journals such as Nature Communications, Neuron and Brain Research.

In The Last Decade

G. William Chapman

26 papers receiving 726 citations

Peers

G. William Chapman

CMN

PHEOH

Daniel T. Gray United States

Matthias Beckmann Germany

Doriana Landi Italy

Andrew Parton United Kingdom

Dominic Thyagarajan Australia

Shuji Nobezawa Japan

Mingjia Dai United States

Francesca Sperli Italy

François Budin United States

Scott D.Z. Eggers United States

Daniel T. Gray United States

G. William Chapman

246 ×0.5

153 ×0.5

CMN

62 ×0.8

PHEOH

63 ×0.9

10 ×0.2

Citations per year, relative to G. William Chapman G. William Chapman (= 1×) peers Daniel T. Gray

Countries citing papers authored by G. William Chapman

Since Specialization

Citations

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

Fields of papers citing papers by G. William Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. William Chapman. 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 G. William Chapman. The network helps show where G. William Chapman may publish in the future.

Co-authorship network of co-authors of G. William Chapman

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

All Works

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20 of 20 papers shown

Chapman, G. William & Michael E. Hasselmo. (2023). Predictive learning by a burst-dependent learning rule. Neurobiology of Learning and Memory. 205. 107826–107826. 1 indexed citations

Alexander, Andrew S., et al.. (2022). Adaptive integration of self-motion and goals in posterior parietal cortex. Cell Reports. 38(10). 110504–110504. 18 indexed citations

Alexander, Andrew S., et al.. (2021). Neural responses in retrosplenial cortex associated with environmental alterations. iScience. 24(11). 103377–103377. 11 indexed citations

Alexander, Andrew S., et al.. (2020). Egocentric boundary vector tuning of the retrosplenial cortex. Science Advances. 6(8). eaaz2322–eaaz2322. 118 indexed citations

Hasselmo, Michael E., Andrew S. Alexander, Jennifer C. Robinson, et al.. (2020). The Unexplored Territory of Neural Models: Potential Guides for Exploring the Function of Metabotropic Neuromodulation. Neuroscience. 456. 143–158. 4 indexed citations

Hinman, James R., G. William Chapman, & Michael E. Hasselmo. (2019). Neuronal representation of environmental boundaries in egocentric coordinates. Nature Communications. 10(1). 2772–2772. 70 indexed citations

Monaghan, Caitlin, G. William Chapman, & Michael E. Hasselmo. (2017). Systemic administration of two different anxiolytic drugs decreases local field potential theta frequency in the medial entorhinal cortex without affecting grid cell firing fields. Neuroscience. 364. 60–70. 17 indexed citations

Hinman, James R., Mark P. Brandon, Jason R. Climer, G. William Chapman, & Michael E. Hasselmo. (2016). Multiple Running Speed Signals in Medial Entorhinal Cortex. Neuron. 91(3). 666–679. 114 indexed citations

Ferrante, Michele, et al.. (2016). Post-Inhibitory Rebound Spikes in Rat Medial Entorhinal Layer II/III Principal Cells: In Vivo, In Vitro, and Computational Modeling Characterization. Cerebral Cortex. 27(3). bhw058–bhw058. 27 indexed citations

10.

Ferrante, Michele, et al.. (2015). Rebound spiking in layer II medial entorhinal cortex stellate cells: Possible mechanism of grid cell function. Neurobiology of Learning and Memory. 129. 83–98. 26 indexed citations

11.

Tsuno, Yusuke, G. William Chapman, & Michael E. Hasselmo. (2015). Rebound spiking properties of mouse medial entorhinal cortex neurons in vivo. European Journal of Neuroscience. 42(11). 2974–2984. 7 indexed citations

12.

Raudies, Florian, Mark P. Brandon, G. William Chapman, & Michael E. Hasselmo. (2014). Head direction is coded more strongly than movement direction in a population of entorhinal neurons. Brain Research. 1621. 355–367. 49 indexed citations

13.

Jefferson, Angela L., Katherine A. Gifford, Stephen Damon, et al.. (2014). Gray & white matter tissue contrast differentiates Mild Cognitive Impairment converters from non-converters. Brain Imaging and Behavior. 9(2). 141–148. 28 indexed citations

14.

Heron, Elizabeth A., et al.. (2013). Military Mental Health. The Journal of Nervous and Mental Disease. 201(12). 1035–1039. 29 indexed citations

15.

LaPolla, James P., et al.. (1993). Ovarian Transposition in Cervical Cancer. Gynecologic Oncology. 49(2). 206–214. 87 indexed citations

16.

Chapman, G. William, Fleurette Abreo, & H. E. Thompson. (1988). Carcinoma of the cervix in young females (35 years, and younger). Gynecologic Oncology. 31(3). 430–434. 8 indexed citations

17.

Chapman, G. William, et al.. (1988). Patterns of molar pregnancy in adolescents. Gynecologic Oncology. 30(2). 196–200. 1 indexed citations

18.

Chapman, G. William, et al.. (1987). Squamous cell carcinoma of the cervix metastatic to the umbilicus.. PubMed. 79(12). 1293, 1296–7. 12 indexed citations

19.

Chapman, G. William. (1979). Civil Defense for the 1980s-Current Issues. 1 indexed citations

20.

Anderson, Valerie, et al.. (1979). Giant condyloma acuminatum of the endocervix and lower uterine segment.. PubMed. 23(1). 46–8. 4 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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