Mark C. Fishman

1.9k total citations
18 papers, 1.2k citations indexed

About

Mark C. Fishman is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark C. Fishman has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 10 papers in Molecular Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark C. Fishman's work include Zebrafish Biomedical Research Applications (12 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Developmental Biology and Gene Regulation (4 papers). Mark C. Fishman is often cited by papers focused on Zebrafish Biomedical Research Applications (12 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Developmental Biology and Gene Regulation (4 papers). Mark C. Fishman collaborates with scholars based in Japan, United States and Switzerland. Mark C. Fishman's co-authors include Shin‐ichi Higashijima, Yukiko Kimura, Minoru Koyama, Amina A. Kinkhabwala, Joseph R. Fetcho, Koichi Kawakami, Hiromi Hirata, Maximiliano L. Suster, Joost Monen and Hiromu Yawo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Mark C. Fishman

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark C. Fishman Japan	13	783	566	435	256	241	18	1.2k
Manuel A. Pombal Spain	23	516 0.7×	541 1.0×	650 1.5×	185 0.7×	210 0.9×	48	1.3k
Elke Rink Germany	11	831 1.1×	629 1.1×	459 1.1×	110 0.4×	279 1.2×	13	1.4k
Owen Randlett United States	18	804 1.0×	704 1.2×	544 1.3×	354 1.4×	112 0.5×	27	1.6k
Yukiko Kimura Japan	20	1.2k 1.5×	1.0k 1.8×	608 1.4×	310 1.2×	365 1.5×	51	2.0k
Jesús M. López Spain	22	467 0.6×	578 1.0×	450 1.0×	169 0.7×	225 0.9×	84	1.4k
David Schoppik United States	17	659 0.8×	557 1.0×	512 1.2×	297 1.2×	79 0.3×	35	1.5k
Nerea Moreno Spain	27	518 0.7×	1.1k 1.9×	585 1.3×	236 0.9×	460 1.9×	83	2.0k
Maximiliano L. Suster Japan	20	795 1.0×	1.1k 1.9×	629 1.4×	142 0.6×	150 0.6×	22	2.1k
Julián Yáñez Spain	25	484 0.6×	520 0.9×	505 1.2×	150 0.6×	149 0.6×	54	1.4k
Ruth Morona Spain	20	346 0.4×	623 1.1×	295 0.7×	105 0.4×	225 0.9×	62	1.1k

Countries citing papers authored by Mark C. Fishman

Since Specialization

Citations

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

Fields of papers citing papers by Mark C. Fishman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark C. Fishman

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

All Works

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18 of 18 papers shown

Fishman, Mark C., et al.. (2023). Molecular organization of neuronal cell types and neuromodulatory systems in the zebrafish telencephalon. Current Biology. 34(2). 298–312.e4. 9 indexed citations

Fishman, Mark C., Rachael L. Neve, Hassana K. Oyibo, et al.. (2022). A viral toolbox for conditional and transneuronal gene expression in zebrafish. eLife. 11. 12 indexed citations

Fishman, Mark C., et al.. (2020). Functional Diversity of Glycinergic Commissural Inhibitory Neurons in Larval Zebrafish. Cell Reports. 30(9). 3036–3050.e4. 30 indexed citations

Frank, Thomas, et al.. (2019). Associative conditioning remaps odor representations and modifies inhibition in a higher olfactory brain area. Nature Neuroscience. 22(11). 1844–1856. 20 indexed citations

Kimura, Yukiko, Mark C. Fishman, Wataru Shoji, et al.. (2013). Hindbrain V2a Neurons in the Excitation of Spinal Locomotor Circuits during Zebrafish Swimming. Current Biology. 23(10). 843–849. 128 indexed citations

Fishman, Mark C., Yukiko Kimura, Hiromi Hirata, et al.. (2013). Transgenic tools to characterize neuronal properties of discrete populations of zebrafish neurons. Development. 140(18). 3927–3931. 143 indexed citations

Fishman, Mark C., Yukiko Kimura, & Shin‐ichi Higashijima. (2012). Generation of Multiple Classes of V0 Neurons in Zebrafish Spinal Cord: Progenitor Heterogeneity and Temporal Control of Neuronal Diversity. Journal of Neuroscience. 32(5). 1771–1783. 110 indexed citations

Behra, Martine, Viviana Gallardo, John Bradsher, et al.. (2012). Transcriptional signature of accessory cells in the lateral line, using the Tnk1bp1:EGFP transgenic zebrafish line. BMC Developmental Biology. 12(1). 6–6. 22 indexed citations

Koyama, Minoru, Amina A. Kinkhabwala, Mark C. Fishman, Shin‐ichi Higashijima, & Joseph R. Fetcho. (2011). Mapping a sensory-motor network onto a structural and functional ground plan in the hindbrain. Proceedings of the National Academy of Sciences. 108(3). 1170–1175. 121 indexed citations

10.

Kinkhabwala, Amina A., Minoru Koyama, Joost Monen, et al.. (2011). A structural and functional ground plan for neurons in the hindbrain of zebrafish. Proceedings of the National Academy of Sciences. 108(3). 1164–1169. 150 indexed citations

11.

Wibowo, Indra, et al.. (2011). Compartmentalized Notch signaling sustains epithelial mirror symmetry. Development. 138(6). 1143–1152. 61 indexed citations

12.

Kani, Shuichi, Young‐Ki Bae, Takashi Shimizu, et al.. (2010). Proneural gene-linked neurogenesis in zebrafish cerebellum. Developmental Biology. 343(1-2). 1–17. 105 indexed citations

13.

Wada, Hironori, Alain Ghysen, Mark C. Fishman, et al.. (2010). Dermal morphogenesis controls lateral line patterning during postembryonic development of teleost fish. Developmental Biology. 340(2). 583–594. 48 indexed citations

14.

Fishman, Mark C., Yukiko Kimura, & Shin‐ichi Higashijima. (2010). Developmental Analysis of spinal V0 neurons in zebrafish. Neuroscience Research. 68. e359–e360. 1 indexed citations

15.

Fishman, Mark C., Yukiko Kimura, Tsunehiko Kohashi, et al.. (2009). Functional Role of a Specialized Class of Spinal Commissural Inhibitory Neurons during Fast Escapes in Zebrafish. Journal of Neuroscience. 29(21). 6780–6793. 111 indexed citations

16.

Fishman, Mark C., Yukiko Kimura, Tsunehiko Kohashi, et al.. (2009). Functional role of a specialized class of spinal commissural inhibitory neurons during fast escapes in zebrafish. Neuroscience Research. 65. S105–S105. 3 indexed citations

17.

Kimura, Yukiko, Mark C. Fishman, & Shin‐ichi Higashijima. (2008). V2a and V2b neurons are generated by the final divisions of pair-producing progenitors in the zebrafish spinal cord. Development. 135(18). 3001–3005. 131 indexed citations

18.

Watanabe, Sanae, et al.. (1996). Study on Diabetics' Estimation of Food Calories for Nutritional Management.. The Japanese Journal of Nutrition and Dietetics. 54(2). 97–108. 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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