Susan E. Snyder

912 total citations
18 papers, 787 citations indexed

About

Susan E. Snyder is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Susan E. Snyder has authored 18 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Susan E. Snyder's work include Nerve injury and regeneration (4 papers), Neuropeptides and Animal Physiology (4 papers) and Skin and Cellular Biology Research (3 papers). Susan E. Snyder is often cited by papers focused on Nerve injury and regeneration (4 papers), Neuropeptides and Animal Physiology (4 papers) and Skin and Cellular Biology Research (3 papers). Susan E. Snyder collaborates with scholars based in United States, Russia and Italy. Susan E. Snyder's co-authors include Stephen R. Salton, Ji Li, Andrea Levi, Seung Hahm, Roberta Possenti, Gian‐Luca Ferri, John E. Pintar, John Winder, Thomas L. Creer and Thomas H. McNeill and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Applied Psychology.

In The Last Decade

Susan E. Snyder

18 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan E. Snyder United States	14	266	252	145	135	111	18	787
Susan C. Feldman United States	15	254 1.0×	359 1.4×	65 0.4×	63 0.5×	31 0.3×	20	907
Yaqing Li China	14	155 0.6×	152 0.6×	93 0.6×	25 0.2×	46 0.4×	30	681
Donghyun Park South Korea	12	218 0.8×	324 1.3×	129 0.9×	55 0.4×	31 0.3×	16	760
Carol Jones United Kingdom	14	203 0.8×	92 0.4×	109 0.8×	58 0.4×	174 1.6×	30	805
Richard M. Kriebel United States	16	258 1.0×	121 0.5×	75 0.5×	22 0.2×	46 0.4×	26	705
Mircea Bancila France	12	434 1.6×	382 1.5×	35 0.2×	73 0.5×	38 0.3×	13	872
Steven Chao United States	15	431 1.6×	387 1.5×	84 0.6×	57 0.4×	22 0.2×	32	965
Joel M. Dopp United States	12	162 0.6×	135 0.5×	54 0.4×	10 0.1×	34 0.3×	14	735
Viviana Sánchez Argentina	10	295 1.1×	350 1.4×	81 0.6×	71 0.5×	8 0.1×	21	620
Pham Nguyen Quy Japan	8	155 0.6×	145 0.6×	30 0.2×	48 0.4×	36 0.3×	25	438

Countries citing papers authored by Susan E. Snyder

Since Specialization

Citations

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

Fields of papers citing papers by Susan E. Snyder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan E. Snyder. 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 Susan E. Snyder. The network helps show where Susan E. Snyder may publish in the future.

Co-authorship network of co-authors of Susan E. Snyder

This figure shows the co-authorship network connecting the top 25 collaborators of Susan E. Snyder. A scholar is included among the top collaborators of Susan E. Snyder 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 Susan E. Snyder. Susan E. Snyder 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

1.

Snyder, Susan E., Bonnie Peng, John E. Pintar, & Stephen R. Salton. (2003). Expression of VGF mRNA in developing neuroendocrine and endocrine tissues. Journal of Endocrinology. 179(2). 227–235. 13 indexed citations

2.

Salton, Stephen R., Gian‐Luca Ferri, Seung Hahm, et al.. (2000). VGF: A Novel Role for This Neuronal and Neuroendocrine Polypeptide in the Regulation of Energy Balance. Frontiers in Neuroendocrinology. 21(3). 199–219. 145 indexed citations

3.

Snyder, Susan E. & Stephen R. Salton. (1998). Expression of VGF mRNA in the adult rat central nervous system. The Journal of Comparative Neurology. 394(1). 91–105. 71 indexed citations

4.

Snyder, Susan E., John E. Pintar, & Stephen R. Salton. (1998). Developmental expression of VGF mRNA in the prenatal and postnatal rat. The Journal of Comparative Neurology. 394(1). 64–90. 10 indexed citations

5.

Snyder, Susan E., John E. Pintar, & Stephen R. Salton. (1998). Developmental expression of VGF mRNA in the prenatal and postnatal rat. The Journal of Comparative Neurology. 394(1). 64–90. 44 indexed citations

6.

Snyder, Susan E. & Stephen R. Salton. (1998). Expression of VGF mRNA in the adult rat central nervous system. The Journal of Comparative Neurology. 394(1). 91–105. 10 indexed citations

7.

Snyder, Susan E., Ji Li, & Stephen R. Salton. (1997). Comparison of VGF and trk mRNA distributions in the developing and adult rat nervous systems. Molecular Brain Research. 49(1-2). 307–311. 19 indexed citations

8.

Snyder, Susan E., H.W. Cheng, Karl D. Murray, et al.. (1997). The messenger RNA encoding VGF, a neuronal peptide precursor, is rapidly regulated in the rat central nervous system by neuronal activity, seizure and lesion. Neuroscience. 82(1). 7–19. 53 indexed citations

9.

Snyder, Susan E., Ji Li, P. Elyse Schauwecker, Thomas H. McNeill, & Stephen R. Salton. (1996). Comparison of RPTPζ/β, phosphacan, and trkB mRNA expression in the developing and adult rat nervous system and induction of RPTPζ/β and phosphacan mRNA following brain injury. Molecular Brain Research. 40(1). 79–96. 86 indexed citations

10.

Elder, Gregory A., et al.. (1992). Multiple nuclear factors interact with the promoter of the human neurofilament M gene. Molecular Brain Research. 15(1-2). 99–107. 32 indexed citations

11.

Lee, Virginia M.‐Y., Gregory A. Elder, Lin‐Chi Chen, et al.. (1992). Expression of human mid-sized neurofilament subunit in transgenic mice. Molecular Brain Research. 15(1-2). 76–84. 24 indexed citations

12.

Lieberburg, Ivan, Nancy B. Spinner, Susan E. Snyder, et al.. (1989). Cloning of a cDNA encoding the rat high molecular weight neurofilament peptide (NF-H): developmental and tissue expression in the rat, and mapping of its human homologue to chromosomes 1 and 22.. Proceedings of the National Academy of Sciences. 86(7). 2463–2467. 57 indexed citations

13.

Creer, Thomas L., Joan K. Wigal, David L. Tobin, et al.. (1989). The Revised Asthma Problem Behavior Checklist. Journal of Asthma. 26(1). 17–29. 23 indexed citations

14.

Anderson, J.L., et al.. (1989). Cellular forms of the rat and human ß-amyloid precursor protein (BAPP). Brain Research. 478(2). 391–398. 10 indexed citations

15.

Webb, Andrew C., Susan E. Snyder, Lanny J. Rosenwasser, et al.. (1987). Human monocyte Arg-Serpin cDNA. Sequence, chromosomal assignment, and homology to plasminogen activator-inhibitor.. The Journal of Experimental Medicine. 166(1). 77–94. 59 indexed citations

16.

Snyder, Susan E., John Winder, & Thomas L. Creer. (1987). Development and Evaluation of an Adult Asthma Self-Management Program: Wheezers Anonymous. Journal of Asthma. 24(3). 153–158. 49 indexed citations

17.

Pargäment, Kenneth I., et al.. (1983). Measuring member satisfaction with the Church.. Journal of Applied Psychology. 68(4). 664–677. 13 indexed citations

18.

Pargäment, Kenneth I., William Silverman, Steven Johnson, Ruben J. Echemendía, & Susan E. Snyder. (1983). The psychosocial climate of religious congregations. American Journal of Community Psychology. 11(4). 351–381. 69 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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