D E Wexler

613 total citations
9 papers, 488 citations indexed

About

D E Wexler is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, D E Wexler has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in D E Wexler's work include Streptococcal Infections and Treatments (4 papers), Neonatal and Maternal Infections (3 papers) and HER2/EGFR in Cancer Research (3 papers). D E Wexler is often cited by papers focused on Streptococcal Infections and Treatments (4 papers), Neonatal and Maternal Infections (3 papers) and HER2/EGFR in Cancer Research (3 papers). D E Wexler collaborates with scholars based in United States, Denmark and Italy. D E Wexler's co-authors include P. Patrick Cleary, Dennis E. Chenoweth, J Handley, James B. Dale, Paul A. Lefebvre, P. Patrick Cleary, Robert D. Nelson, Francesca Fazioli, Fulvio Lonardo and Pier Paolo Di Fiore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Genetics.

In The Last Decade

D E Wexler

9 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D E Wexler United States	9	291	172	161	71	71	9	488
Laura Bolling United States	7	147 0.5×	197 1.1×	211 1.3×	45 0.6×	55 0.8×	7	646
Tianci Luo United States	11	86 0.3×	161 0.9×	277 1.7×	30 0.4×	136 1.9×	15	656
Donna S. Davis United States	11	72 0.2×	124 0.7×	264 1.6×	131 1.8×	155 2.2×	13	574
Naoko Inoshima Japan	6	55 0.2×	247 1.4×	226 1.4×	65 0.9×	78 1.1×	8	508
Natalie Lorenz New Zealand	12	125 0.4×	153 0.9×	101 0.6×	30 0.4×	52 0.7×	24	351
Jean‐Claude Lefebvre France	13	47 0.2×	49 0.3×	289 1.8×	37 0.5×	92 1.3×	31	555
Rahel Byland United Kingdom	8	57 0.2×	133 0.8×	120 0.7×	47 0.7×	124 1.7×	8	489
Kathleen Davern Australia	7	526 1.8×	23 0.1×	229 1.4×	74 1.0×	73 1.0×	10	870
Christophe Aucan United Kingdom	9	392 1.3×	45 0.3×	100 0.6×	30 0.4×	123 1.7×	11	581

Countries citing papers authored by D E Wexler

Since Specialization

Citations

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

Fields of papers citing papers by D E Wexler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D E Wexler

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

All Works

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9 of 9 papers shown

Segatto, Oreste, Fulvio Lonardo, Kristian Helin, et al.. (1992). erbB-2 autophosphorylation is required for mitogenic action and high-affinity substrate coupling.. PubMed. 7(7). 1339–46. 15 indexed citations

Cleary, P. Patrick, et al.. (1992). Streptococcal C5a peptidase is a highly specific endopeptidase. Infection and Immunity. 60(12). 5219–5223. 130 indexed citations

Segatto, Oreste, Fulvio Lonardo, D E Wexler, et al.. (1991). The juxtamembrane regions of the epidermal growth factor receptor and gp185erbB-2 determine the specificity of signal transduction.. Molecular and Cellular Biology. 11(6). 3191–3202. 46 indexed citations

Segatto, Oreste, Fulvio Lonardo, D E Wexler, et al.. (1991). The Juxtamembrane Regions of the Epidermal Growth Factor Receptor and gpl85^erbB-2 Determine the Specificity of Signal Transduction. Molecular and Cellular Biology. 11(6). 3191–3202. 9 indexed citations

Lefebvre, Paul A., et al.. (1988). Isolation and Characterization of Chlamydomonas reinhardtii Mutants with Defects in the Induction of Flagellar Protein Synthesis after Deflagellation¹,². The Journal of Protozoology. 35(4). 559–564. 8 indexed citations

Wexler, D E, et al.. (1988). Genetic analysis of long-flagella mutants of Chlamydomonas reinhardtii.. Genetics. 118(4). 637–648. 60 indexed citations

Wexler, D E, Dennis E. Chenoweth, & P. Patrick Cleary. (1985). Mechanism of action of the group A streptococcal C5a inactivator.. Proceedings of the National Academy of Sciences. 82(23). 8144–8148. 146 indexed citations

Wexler, D E & P. Patrick Cleary. (1985). Purification and characteristics of the streptococcal chemotactic factor inactivator. Infection and Immunity. 50(3). 757–764. 31 indexed citations

Wexler, D E, Robert D. Nelson, & P. Patrick Cleary. (1983). Human neutrophil chemotactic response to group A streptococci: bacteria-mediated interference with complement-derived chemotactic factors. Infection and Immunity. 39(1). 239–246. 43 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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