Linda S. Ross

3.1k total citations
33 papers, 1.9k citations indexed

About

Linda S. Ross is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Linda S. Ross has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Linda S. Ross's work include Insect Resistance and Genetics (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Acute Myeloid Leukemia Research (4 papers). Linda S. Ross is often cited by papers focused on Insect Resistance and Genetics (7 papers), Neurobiology and Insect Physiology Research (5 papers) and Acute Myeloid Leukemia Research (4 papers). Linda S. Ross collaborates with scholars based in United States, France and Germany. Linda S. Ross's co-authors include Sarjeet S. Gill, Laura Cole, Stephen S. Easter, Stephen W. Wilson, Timothy Parrett, Heather Sanders, George D. Pollak, John M. Zook, Dušan Žitňan and Michael E. Adams and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Neuron.

In The Last Decade

Linda S. Ross

33 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda S. Ross United States 19 974 523 362 346 221 33 1.9k
Paul J. Linser United States 35 2.1k 2.2× 868 1.7× 381 1.1× 312 0.9× 300 1.4× 100 3.2k
Fiona L. Watson United Kingdom 23 1.1k 1.1× 992 1.9× 323 0.9× 216 0.6× 111 0.5× 51 2.8k
Dietmar Schmucker United States 24 1.6k 1.6× 1.2k 2.4× 441 1.2× 361 1.0× 133 0.6× 34 2.9k
Changan Jiang China 14 1.1k 1.1× 759 1.5× 200 0.6× 142 0.4× 62 0.3× 21 1.7k
Oren Schuldiner Israel 22 2.0k 2.0× 1.4k 2.6× 793 2.2× 124 0.4× 116 0.5× 38 3.7k
Jay Z. Parrish United States 24 1.4k 1.4× 648 1.2× 405 1.1× 80 0.2× 66 0.3× 36 2.2k
Tony D. Southall United Kingdom 24 1.3k 1.4× 772 1.5× 261 0.7× 192 0.6× 33 0.1× 42 1.9k
Jill Wildonger United States 21 1.7k 1.7× 478 0.9× 623 1.7× 251 0.7× 63 0.3× 33 2.2k
Daniel N. Cox United States 25 2.2k 2.3× 552 1.1× 395 1.1× 142 0.4× 118 0.5× 65 3.2k
Angela Giangrande France 28 1.8k 1.9× 1.1k 2.0× 534 1.5× 158 0.5× 64 0.3× 93 2.5k

Countries citing papers authored by Linda S. Ross

Since Specialization
Citations

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

Fields of papers citing papers by Linda S. Ross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda S. Ross. 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 Linda S. Ross. The network helps show where Linda S. Ross may publish in the future.

Co-authorship network of co-authors of Linda S. Ross

This figure shows the co-authorship network connecting the top 25 collaborators of Linda S. Ross. A scholar is included among the top collaborators of Linda S. Ross 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 Linda S. Ross. Linda S. Ross 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.
Cremer, Anjali, Jana M. Ellegast, Gabriela Alexe, et al.. (2019). Resistance Mechanisms to SYK Inhibition in Acute Myeloid Leukemia. Cancer Discovery. 10(2). 214–231. 26 indexed citations
2.
Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma. Clinical Cancer Research. 25(4). 1343–1357. 62 indexed citations
3.
Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). Abstract 1629: Targeting resistance mechanisms to CDK4/6 inhibitors in Ewing sarcoma with an IGF1R inhibitor drug combination strategy. Cancer Research. 78(13_Supplement). 1629–1629. 1 indexed citations
4.
Benajiba, Lina, Florence F. Wagner, Linda S. Ross, et al.. (2015). Identification of a First in Class GSK3-Alpha Selective Inhibitor As a New Differentiation Therapy for AML. Blood. 126(23). 870–870. 1 indexed citations
5.
Banerji, Versha, Stacey M. Frumm, Kenneth N. Ross, et al.. (2012). The intersection of genetic and chemical genomic screens identifies GSK-3α as a target in human acute myeloid leukemia. Journal of Clinical Investigation. 122(3). 935–947. 85 indexed citations
6.
Hahn, Cynthia K., Jacob E. Berchuck, Kenneth N. Ross, et al.. (2009). Proteomic and Genetic Approaches Identify Syk as an AML Target. Cancer Cell. 16(4). 281–294. 120 indexed citations
7.
Sanders, Heather, Brian D. Foy, Linda S. Ross, et al.. (2005). Sindbis virus induces transport processes and alters expression of innate immunity pathway genes in the midgut of the disease vector, Aedes aegypti. Insect Biochemistry and Molecular Biology. 35(11). 1293–1307. 110 indexed citations
8.
Ross, Linda S., et al.. (2003). Gap junctional coupling in the olfactory organ of zebrafish embryos. Developmental Brain Research. 143(1). 25–31. 6 indexed citations
9.
Ross, Linda S., et al.. (2002). A cocaine insensitive chimeric insect serotonin transporter reveals domains critical for cocaine interaction. European Journal of Biochemistry. 269(16). 3934–3944. 27 indexed citations
10.
Cole, Laura & Linda S. Ross. (2001). Apoptosis in the Developing Zebrafish Embryo. Developmental Biology. 240(1). 123–142. 259 indexed citations
11.
Pietrantonio, Patricia V., Christopher Jagge, Larry L. Keeley, & Linda S. Ross. (2000). Cloning of an aquaporin‐like cDNA and in situ hybridization in adults of the mosquito Aedes aegypti (Diptera: Culicidae). Insect Molecular Biology. 9(4). 407–418. 51 indexed citations
12.
Chiu, Chi‐Sung, Linda S. Ross, Bruce Cohen, Henry A. Lester, & Sarjeet S. Gill. (2000). The Transporter-Like Protein Inebriated Mediates Hyperosmotic Stimuli Through Intracellular Signaling. Journal of Experimental Biology. 203(23). 3531–3546. 16 indexed citations
13.
Žitňan, Dušan, et al.. (1999). Steroid Induction of a Peptide Hormone Gene Leads to Orchestration of a Defined Behavioral Sequence. Neuron. 23(3). 523–535. 143 indexed citations
14.
15.
Gill, Sarjeet S., et al.. (1998). Isolation of the V-ATPase A and c subunit cDNAs from mosquito midgut and malpighian tubules. Archives of Insect Biochemistry and Physiology. 37(1). 80–90. 15 indexed citations
16.
Ross, Linda S. & Sarjeet S. Gill. (1996). Limited Growth PCR Screening of a Plasmid Library. BioTechniques. 21(3). 382–386. 17 indexed citations
17.
Ross, Linda S., et al.. (1995). Cloning, Functional Expression, and Pharmacology of a GABA Transporter from Manduca sexta. Archives of Biochemistry and Biophysics. 318(2). 489–497. 32 indexed citations
18.
Gill, Sarjeet S. & Linda S. Ross. (1991). Molecular cloning and characterization of the B subunit of a vacuolar H+-ATPase from the midgut and malpighian tubules of Helicoverpa virescens. Archives of Biochemistry and Biophysics. 291(1). 92–99. 18 indexed citations
19.
Ross, Linda S., George D. Pollak, & John M. Zook. (1988). Origin of ascending projections to an isofrequency region of the mustache bat's inferior colliculus. The Journal of Comparative Neurology. 270(4). 488–505. 75 indexed citations
20.

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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