Steven A. Wasserman

8.2k total citations · 1 hit paper
70 papers, 6.4k citations indexed

About

Steven A. Wasserman is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Steven A. Wasserman has authored 70 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 24 papers in Immunology and 11 papers in Genetics. Recurrent topics in Steven A. Wasserman's work include Invertebrate Immune Response Mechanisms (19 papers), Insect symbiosis and bacterial influences (10 papers) and Developmental Biology and Gene Regulation (10 papers). Steven A. Wasserman is often cited by papers focused on Invertebrate Immune Response Mechanisms (19 papers), Insect symbiosis and bacterial influences (10 papers) and Developmental Biology and Gene Regulation (10 papers). Steven A. Wasserman collaborates with scholars based in United States, Israel and Switzerland. Steven A. Wasserman's co-authors include Nicholas R. Cozzarelli, Diego H. Castrillón, Jean Z. Maines, Charles G. Eberhart, Par Towb, Scott A. Lindsay, Leon Avery, Christopher A. Shelton, Huaiyu Sun and Rene L. Galindo and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Steven A. Wasserman

70 papers receiving 6.3k citations

Hit Papers

Control of Male Sexual Behavior and Sexual Orientation in... 1996 2026 2006 2016 1996 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven A. Wasserman United States 45 3.5k 1.8k 1.4k 1.0k 894 70 6.4k
Ichiro Yahara Japan 62 7.0k 2.0× 1.6k 0.9× 622 0.4× 711 0.7× 256 0.3× 133 10.5k
Matthew D. Welch United States 43 3.8k 1.1× 762 0.4× 764 0.6× 386 0.4× 459 0.5× 88 8.5k
R Waterston United States 74 11.9k 3.4× 515 0.3× 3.3k 2.4× 872 0.8× 423 0.5× 155 17.3k
Mary K. Montgomery United States 15 10.3k 3.0× 891 0.5× 1.6k 1.1× 578 0.6× 746 0.8× 28 13.0k
Titia K. Sixma Netherlands 61 13.1k 3.8× 991 0.5× 1.4k 1.0× 1.4k 1.4× 913 1.0× 126 15.0k
Steven Lin United States 37 7.1k 2.0× 1.6k 0.8× 1.3k 1.0× 1.3k 1.3× 393 0.4× 64 9.8k
Roberto Bonasio United States 41 5.7k 1.6× 2.1k 1.2× 1.8k 1.3× 527 0.5× 708 0.8× 70 9.6k
Christophe Ampè Belgium 44 4.3k 1.3× 589 0.3× 699 0.5× 380 0.4× 653 0.7× 119 7.0k
Siqun Xu China 12 10.6k 3.1× 835 0.5× 1.6k 1.1× 576 0.6× 694 0.8× 21 13.0k
Susumu Hirose Japan 47 4.6k 1.3× 433 0.2× 1.2k 0.9× 745 0.7× 290 0.3× 128 5.7k

Countries citing papers authored by Steven A. Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by Steven A. Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven A. Wasserman. 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 Steven A. Wasserman. The network helps show where Steven A. Wasserman may publish in the future.

Co-authorship network of co-authors of Steven A. Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Wasserman. A scholar is included among the top collaborators of Steven A. Wasserman 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 Steven A. Wasserman. Steven A. Wasserman 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.
2.
Hanson, Mark A., Lianne B. Cohen, Alice Marra, et al.. (2021). The Drosophila Baramicin polypeptide gene protects against fungal infection. PLoS Pathogens. 17(8). e1009846–e1009846. 40 indexed citations
3.
Cohen, Lianne B., et al.. (2020). The Daisho Peptides Mediate Drosophila Defense Against a Subset of Filamentous Fungi. Frontiers in Immunology. 11. 9–9. 37 indexed citations
4.
Zhou, Bo, Scott A. Lindsay, & Steven A. Wasserman. (2015). Alternative NF-κB Isoforms in the Drosophila Neuromuscular Junction and Brain. PLoS ONE. 10(7). e0132793–e0132793. 9 indexed citations
5.
Lindsay, Scott A., et al.. (2015). An Effector Peptide Family Required for Drosophila Toll-Mediated Immunity. PLoS Pathogens. 11(4). e1004876–e1004876. 101 indexed citations
6.
Gendron, Joshua M., Raymond Mak, Kristofor J. Webb, et al.. (2015). The Unfolded Protein Response Triggers Site-Specific Regulatory Ubiquitylation of 40S Ribosomal Proteins. Molecular Cell. 59(1). 35–49. 124 indexed citations
7.
Lindsay, Scott A. & Steven A. Wasserman. (2013). Conventional and non-conventional Drosophila Toll signaling. Developmental & Comparative Immunology. 42(1). 16–24. 121 indexed citations
8.
Campbell, James D., et al.. (2007). Safety, Reactogenicity, and Immunogenicity of a Recombinant Protective Antigen Anthrax Vaccine Given to Healthy Adults. Human Vaccines. 3(5). 205–211. 58 indexed citations
9.
Park, Jin Mo, Helen Brady, Maria Grazia Ruocco, et al.. (2004). Targeting of TAK1 by the NF-κB protein Relish regulates the JNK-mediated immune response in Drosophila. Genes & Development. 18(5). 584–594. 149 indexed citations
10.
Sun, Huaiyu, et al.. (2002). A heterotrimeric death domain complex in Toll signaling. Proceedings of the National Academy of Sciences. 99(20). 12871–12876. 109 indexed citations
11.
Wasserman, Steven A.. (2000). Toll signaling: the enigma variations. Current Opinion in Genetics & Development. 10(5). 497–502. 48 indexed citations
12.
Maines, Jean Z. & Steven A. Wasserman. (1999). Post-transcriptional regulation of the meiotic Cdc25 protein Twine by the Dazl orthologue Boule. Nature Cell Biology. 1(3). 171–174. 132 indexed citations
13.
Xiao, Tsan Sam, Par Towb, Steven A. Wasserman, & Stephen R. Sprang. (1999). Three-Dimensional Structure of a Complex between the Death Domains of Pelle and Tube. Cell. 99(5). 545–555. 150 indexed citations
14.
Cheng, Mickie, Jean Z. Maines, & Steven A. Wasserman. (1998). Biphasic Subcellular Localization of the DAZL-Related Protein Boule inDrosophilaSpermatogenesis. Developmental Biology. 204(2). 567–576. 68 indexed citations
15.
Galindo, Rene L., et al.. (1996). A Gradient of Cactus Protein Degradation Establishes Dorsoventral Polarity in theDrosophilaEmbryo. Developmental Biology. 180(1). 353–364. 103 indexed citations
16.
Ryner, Lisa, Stephen F. Goodwin, Diego H. Castrillón, et al.. (1996). Control of Male Sexual Behavior and Sexual Orientation in Drosophila by the fruitless Gene. Cell. 87(6). 1079–1089. 394 indexed citations breakdown →
17.
Wasserman, Steven A.. (1993). A conserved signal transduction pathway regulating the activity of the rel-like proteins dorsal and NF-kappa B.. Molecular Biology of the Cell. 4(8). 767–771. 75 indexed citations
18.
Shelton, Christopher A. & Steven A. Wasserman. (1993). pelle encodes a protein kinase required to establish dorsoventral polarity in the Drosophila embryo. Cell. 72(4). 515–525. 175 indexed citations
19.
Avery, Leon & Steven A. Wasserman. (1992). Ordering gene function: the interpretation of epistasis in regulatory hierarchies. Trends in Genetics. 8(9). 312–316. 185 indexed citations
20.
Wasserman, Steven A., James H. White, & Nicholas R. Cozzarelli. (1988). The helical repeat of double-stranded DNA varies as a function of catenation and supercoiling. Nature. 334(6181). 448–450. 46 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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