Noah M. Solomon

1.2k total citations
9 papers, 1.0k citations indexed

About

Noah M. Solomon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Mathematical Physics. According to data from OpenAlex, Noah M. Solomon has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Mathematical Physics. Recurrent topics in Noah M. Solomon's work include Neurobiology and Insect Physiology Research (4 papers), Developmental Biology and Gene Regulation (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Noah M. Solomon is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Developmental Biology and Gene Regulation (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Noah M. Solomon collaborates with scholars based in United States. Noah M. Solomon's co-authors include Gerald M. Rubin, Graeme Mardon, David A. Wassarman, Marc Therrien, Henry C. Chang, Felix Karim, Tanya Wolff, Debra A. Kendall, Albert R. Matlin and Jennifer A. Banzon and has published in prestigious journals such as Cell, Genes & Development and Development.

In The Last Decade

Noah M. Solomon

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noah M. Solomon United States 8 925 263 194 156 64 9 1.0k
Marc Furriols Spain 15 820 0.9× 301 1.1× 186 1.0× 145 0.9× 188 2.9× 22 1.1k
Sofia J. Araújo Spain 14 1.0k 1.1× 198 0.8× 183 0.9× 137 0.9× 101 1.6× 31 1.2k
Raghavendra Nagaraj United States 12 958 1.0× 221 0.8× 225 1.2× 112 0.7× 100 1.6× 16 1.1k
Mary Ellen Lane United States 17 1.2k 1.3× 241 0.9× 443 2.3× 195 1.3× 102 1.6× 20 1.4k
Kensuke Shiomi Japan 10 743 0.8× 245 0.9× 388 2.0× 97 0.6× 46 0.7× 13 945
Kazuhide Tsuneizumi Japan 10 652 0.7× 119 0.5× 140 0.7× 95 0.6× 72 1.1× 19 772
Alena Krejčı́ Czechia 18 943 1.0× 292 1.1× 110 0.6× 125 0.8× 227 3.5× 34 1.2k
János Szidonya Hungary 7 619 0.7× 152 0.6× 262 1.4× 90 0.6× 42 0.7× 9 749
Ashim Mukherjee India 15 755 0.8× 182 0.7× 152 0.8× 118 0.8× 118 1.8× 50 970
Simona Raffioni United States 19 680 0.7× 295 1.1× 146 0.8× 121 0.8× 53 0.8× 26 928

Countries citing papers authored by Noah M. Solomon

Since Specialization
Citations

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

Fields of papers citing papers by Noah M. Solomon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah M. Solomon

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

All Works

9 of 9 papers shown
1.
Folsom, Amanda, et al.. (2021). Quantum Jacobi forms and sums of tails identities. Research in Number Theory. 8(1). 1 indexed citations
2.
Wassarman, David A., Noah M. Solomon, & Gerald M. Rubin. (1996). Pk92b: a drosophila melanogaster protein kinase that belongs to the mekk family. Gene. 169(2). 283–284. 10 indexed citations
3.
Wassarman, David A., Noah M. Solomon, Henry C. Chang, et al.. (1996). Protein phosphatase 2A positively and negatively regulates Ras1-mediated photoreceptor development in Drosophila.. Genes & Development. 10(3). 272–278. 103 indexed citations
4.
Therrien, Marc, Henry C. Chang, Noah M. Solomon, et al.. (1995). KSR, a novel protein kinase required for RAS signal transduction. Cell. 83(6). 879–888. 303 indexed citations
5.
Chang, Henry C., Noah M. Solomon, David A. Wassarman, et al.. (1995). phyllopod functions in the fate determination of a subset of photoreceptors in drosophila. Cell. 80(3). 463–472. 98 indexed citations
6.
Mardon, Graeme, Noah M. Solomon, & Gerald M. Rubin. (1994). dachshund encodes a nuclear protein required for normal eye and leg development in Drosophila. Development. 120(12). 3473–3486. 461 indexed citations
7.
Wassarman, David A., Noah M. Solomon, & Gerald M. Rubin. (1994). The Drosophila melanogaster ribosomal S6 kinase II-encoding sequence. Gene. 144(2). 309–310. 25 indexed citations
8.
Chang, Henry C., Felix Karim, Elizabeth O’Neill, et al.. (1994). Ras Signal Transduction Pathway in Drosophila Eye Development. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 147–153. 17 indexed citations
9.
Matlin, Albert R., et al.. (1992). Enhanced catalysis by active-site mutagenesis at aspartic acid 153 in Escherichia coli alkaline phosphatase. Biochemistry. 31(35). 8196–8200. 18 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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