Barbara Mercier

1.1k total citations
8 papers, 836 citations indexed

About

Barbara Mercier is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Barbara Mercier has authored 8 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Barbara Mercier's work include Visual perception and processing mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neural dynamics and brain function (2 papers). Barbara Mercier is often cited by papers focused on Visual perception and processing mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Neural dynamics and brain function (2 papers). Barbara Mercier collaborates with scholars based in United Kingdom, France and Netherlands. Barbara Mercier's co-authors include Mitchell Glickstein, Jack G. May, Ines Kralj‐Hans, M. Glickstein, John Stein, Jan Voogd, Charles Legg, Wang Xi, Caterina Tomba and Ayako Yamada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and The Journal of Comparative Neurology.

In The Last Decade

Barbara Mercier

8 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara Mercier United Kingdom	8	488	479	219	105	105	8	836
Alexander Babalian Switzerland	16	566 1.2×	630 1.3×	282 1.3×	94 0.9×	90 0.9×	21	1.1k
W. Heide Germany	18	716 1.5×	397 0.8×	226 1.0×	119 1.1×	191 1.8×	37	1.3k
Kris M. Horn United States	18	327 0.7×	373 0.8×	266 1.2×	71 0.7×	83 0.8×	24	757
G. Andersson Sweden	18	278 0.6×	680 1.4×	313 1.4×	158 1.5×	151 1.4×	32	1.2k
Robijanto Soetedjo United States	18	783 1.6×	679 1.4×	194 0.9×	148 1.4×	96 0.9×	25	1.1k
Yuriko Sugiuchi Japan	20	547 1.1×	749 1.6×	255 1.2×	95 0.9×	216 2.1×	43	1.1k
William L. Nores United States	11	506 1.0×	597 1.2×	439 2.0×	147 1.4×	72 0.7×	13	1.1k
Seiji Ono Japan	20	633 1.3×	471 1.0×	121 0.6×	182 1.7×	211 2.0×	94	1.0k
M. Kato Japan	20	323 0.7×	416 0.9×	273 1.2×	105 1.0×	148 1.4×	46	1.1k
C. I. De Zeeuw Netherlands	11	329 0.7×	669 1.4×	352 1.6×	215 2.0×	127 1.2×	15	964

Countries citing papers authored by Barbara Mercier

Since Specialization

Citations

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

Fields of papers citing papers by Barbara Mercier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Mercier

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

All Works

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8 of 8 papers shown

1.

Xi, Wang, Ayako Yamada, Caterina Tomba, et al.. (2022). Modulation of designer biomimetic matrices for optimized differentiated intestinal epithelial cultures. Biomaterials. 282. 121380–121380. 19 indexed citations

2.

Mercier, Barbara, et al.. (2021). Bioengineering methods for organoid systems. Biology of the Cell. 113(12). 475–491. 10 indexed citations

3.

Glickstein, Mitchell, et al.. (1994). Visual pontocerebellar projections in the macaque. The Journal of Comparative Neurology. 349(1). 51–72. 244 indexed citations

4.

Glickstein, Mitchell, et al.. (1992). The organisation of fibres within the rat basis pedunculi. Neuroscience Letters. 135(1). 75–79. 8 indexed citations

5.

Glickstein, M., Jack G. May, & Barbara Mercier. (1990). Visual corticopontine and tectopontine projections in the macaque.. PubMed. 128(2-4). 273–93. 22 indexed citations

6.

Mercier, Barbara, Charles Legg, & M. Glickstein. (1990). Basal ganglia and cerebellum receive different somatosensory information in rats.. Proceedings of the National Academy of Sciences. 87(11). 4388–4392. 32 indexed citations

7.

Legg, Charles, Barbara Mercier, & M. Glickstein. (1989). Corticopontine projection in the rat: The distribution of labelled cortical cells after large injections of horseradish peroxidase in the pontine nuclei. The Journal of Comparative Neurology. 286(4). 427–441. 71 indexed citations

8.

Glickstein, Mitchell, Jack G. May, & Barbara Mercier. (1985). Corticopontine projection in the macaque: The distribution of labelled cortical cells after large injections of horseradish peroxidase in the pontine nuclei. The Journal of Comparative Neurology. 235(3). 343–359. 430 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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