Anna M. Clark

1.4k total citations
21 papers, 1.0k citations indexed

About

Anna M. Clark is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Anna M. Clark has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Anna M. Clark's work include Retinal Development and Disorders (6 papers), RNA and protein synthesis mechanisms (4 papers) and Developmental Biology and Gene Regulation (4 papers). Anna M. Clark is often cited by papers focused on Retinal Development and Disorders (6 papers), RNA and protein synthesis mechanisms (4 papers) and Developmental Biology and Gene Regulation (4 papers). Anna M. Clark collaborates with scholars based in United States, Bulgaria and Saudi Arabia. Anna M. Clark's co-authors include Edward M. Levine, Gary A. Thompson, Louis J. Ptáček, Ying‐Hui Fu, Hans J. Bohnert, Shana L. Skradski, H. Steve White, Jean‐Christophe Palauqui, Yanmin Zhu and Françoise Vilaine and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Plant Cell.

In The Last Decade

Anna M. Clark

21 papers receiving 976 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna M. Clark United States 15 641 288 160 139 100 21 1.0k
Eriko Sugano Japan 19 839 1.3× 56 0.2× 851 5.3× 96 0.7× 30 0.3× 74 1.5k
Zhongyuan Zuo United States 23 668 1.0× 116 0.4× 233 1.5× 149 1.1× 23 0.2× 39 1.3k
Ann M. Rivers United States 7 575 0.9× 188 0.7× 184 1.1× 54 0.4× 96 1.0× 8 1.0k
Ian King United States 18 1.2k 1.9× 162 0.6× 250 1.6× 594 4.3× 10 0.1× 34 1.8k
Takahiro Chihara Japan 23 767 1.2× 77 0.3× 376 2.4× 138 1.0× 44 0.4× 53 1.3k
P. Häring Switzerland 10 695 1.1× 44 0.2× 713 4.5× 50 0.4× 31 0.3× 13 1.3k
Jianjun Sun United States 16 716 1.1× 120 0.4× 273 1.7× 254 1.8× 236 2.4× 39 1.2k
Sumeet Sarin United States 12 565 0.9× 114 0.4× 83 0.5× 151 1.1× 74 0.7× 12 928
Birger Voigt Japan 16 953 1.5× 74 0.3× 121 0.8× 482 3.5× 6 0.1× 35 1.3k
Aparna Prasad United States 18 400 0.6× 91 0.3× 75 0.5× 493 3.5× 27 0.3× 44 1.0k

Countries citing papers authored by Anna M. Clark

Since Specialization
Citations

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

Fields of papers citing papers by Anna M. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna M. Clark. 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 Anna M. Clark. The network helps show where Anna M. Clark may publish in the future.

Co-authorship network of co-authors of Anna M. Clark

This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Clark. A scholar is included among the top collaborators of Anna M. Clark 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 Anna M. Clark. Anna M. Clark 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.
Tadenev, Abigail L. D., Nicholas A. Devanney, Pranav Dinesh Mathur, et al.. (2019). GPSM2-GNAI Specifies the Tallest Stereocilia and Defines Hair Bundle Row Identity. Current Biology. 29(6). 921–934.e4. 49 indexed citations
2.
Yu, Dongmei, Richard C. Austin, Pranav Dinesh Mathur, et al.. (2018). C8ORF37 Is Required for Photoreceptor Outer Segment Disc Morphogenesis by Maintaining Outer Segment Membrane Protein Homeostasis. Journal of Neuroscience. 38(13). 3160–3176. 12 indexed citations
3.
Sigulinsky, Crystal, et al.. (2015). Genetic chimeras reveal the autonomy requirements for Vsx2 in embryonic retinal progenitor cells. Neural Development. 10(1). 12–12. 9 indexed citations
4.
Gordon, P. J., et al.. (2013). Lhx2 Balances Progenitor Maintenance with Neurogenic Output and Promotes Competence State Progression in the Developing Retina. Journal of Neuroscience. 33(30). 12197–12207. 57 indexed citations
5.
Das, Gaurav, Anna M. Clark, & Edward M. Levine. (2012). Cyclin D1 inactivation extends proliferation and alters histogenesis in the postnatal mouse retina. Developmental Dynamics. 241(5). 941–952. 20 indexed citations
6.
Clark, Anna M., et al.. (2010). Reversibly sealed multilayer microfluidic device for integrated cell perfusion and on-line chemical analysis of cultured adipocyte secretions. Analytical and Bioanalytical Chemistry. 397(7). 2939–2947. 25 indexed citations
7.
Clark, Anna M., et al.. (2009). Continuous-Flow Enzyme Assay on a Microfluidic Chip for Monitoring Glycerol Secretion from Cultured Adipocytes. Analytical Chemistry. 81(6). 2350–2356. 64 indexed citations
8.
Clark, Anna M., et al.. (2009). Rlbp1Promoter Drives Robust Muller Glial GFP Expression in Transgenic Mice. Investigative Ophthalmology & Visual Science. 50(8). 3996–3996. 42 indexed citations
9.
Sigulinsky, Crystal, et al.. (2008). Vsx2/Chx10 ensures the correct timing and magnitude of Hedgehog signaling in the mouse retina. Developmental Biology. 317(2). 560–575. 32 indexed citations
10.
Clark, Anna M., et al.. (2007). Negative regulation of Vsx1 by its paralog Chx10/Vsx2 is conserved in the vertebrate retina. Brain Research. 1192. 99–113. 56 indexed citations
11.
Clark, Anna M., et al.. (2003). A Novel Central Nervous System–Enriched Spinocerebellar Ataxia Type 7 Gene Product. Archives of Neurology. 60(1). 97–97. 11 indexed citations
12.
Dinant, Sylvie, Anna M. Clark, Yanmin Zhu, et al.. (2003). Diversity of the Superfamily of Phloem Lectins (Phloem Protein 2) in Angiosperms. PLANT PHYSIOLOGY. 131(1). 114–128. 170 indexed citations
13.
Nakayama, Junko, Ying‐Hui Fu, Anna M. Clark, et al.. (2002). A nonsense mutation of the MASS1 gene in a family with febrile and afebrile seizures. Annals of Neurology. 52(5). 654–657. 101 indexed citations
14.
Skradski, Shana L., et al.. (2001). A Novel Gene Causing a Mendelian Audiogenic Mouse Epilepsy. Neuron. 31(4). 537–544. 149 indexed citations
15.
Clark, Anna M. & Hans J. Bohnert. (1999). Cell-Specific Expression of Genes of the Lipid Transfer Protein Family from Arabidopsis thaliana. Plant and Cell Physiology. 40(1). 69–76. 50 indexed citations
16.
Clark, Anna M., et al.. (1997). Molecular characterization of a phloem‐specific gene encoding the filament protein, Phloem Protein 1 (PP1), from Cucurbita maxima. The Plant Journal. 12(1). 49–61. 93 indexed citations
17.
Bartholomew, Chris & Anna M. Clark. (1994). Induction of two alternatively spliced evi-1 proto-oncogene transcripts by cAMP in kidney cells.. PubMed. 9(3). 939–42. 14 indexed citations
18.
Clark, Anna M. & Hans J. Bohnert. (1993). Epidermis-Specific Transcripts (Nucleotide Sequence of a Full-Length cDNA of EPI12, Encoding a Putative Lipid Transfer Protein). PLANT PHYSIOLOGY. 103(2). 677–678. 13 indexed citations
19.
Clark, Anna M., et al.. (1992). Epidermis-specific gene expression in Pachyphytum.. The Plant Cell. 4(10). 1189–1198. 13 indexed citations
20.
Clark, Anna M., et al.. (1989). NEURONAL GENE EXPRESSION IN AMYOTROPHIC LATERAL SCLEROSIS. Journal of Neuropathology & Experimental Neurology. 48(3). 381–381. 2 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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