Daryl E. Klein

2.2k total citations
21 papers, 1.3k citations indexed

About

Daryl E. Klein is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daryl E. Klein has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daryl E. Klein's work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cellular transport and secretion (3 papers). Daryl E. Klein is often cited by papers focused on HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cellular transport and secretion (3 papers). Daryl E. Klein collaborates with scholars based in United States, Germany and China. Daryl E. Klein's co-authors include Mark A. Lemmon, Anthony Lee, Diego Alvarado, Edward Y. Skolnik, Steven J. Isakoff, Marco Falasca, Jennifer M. Kavran, Stephen C. Harrison, Jason Choi and Michael S. Marks and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Daryl E. Klein

19 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daryl E. Klein United States	14	891	507	190	156	138	21	1.3k
Serge Urbach France	25	1.4k 1.6×	277 0.5×	213 1.1×	43 0.3×	88 0.6×	66	2.1k
Emin T. Ulug United States	15	788 0.9×	287 0.6×	224 1.2×	95 0.6×	61 0.4×	21	1.2k
Meg Trahey United States	17	1.7k 1.9×	524 1.0×	428 2.3×	132 0.8×	72 0.5×	22	2.4k
Philippe Montcourrier France	19	1.0k 1.1×	588 1.2×	188 1.0×	102 0.7×	50 0.4×	25	1.9k
Jennifer Lippincott‐Schwartz United States	8	1.3k 1.4×	1.1k 2.1×	114 0.6×	47 0.3×	129 0.9×	9	2.0k
Karen Colwill Canada	22	2.3k 2.6×	572 1.1×	281 1.5×	271 1.7×	33 0.2×	55	2.9k
Erin D. Jeffery United States	22	867 1.0×	327 0.6×	198 1.0×	33 0.2×	84 0.6×	34	1.5k
Vibor Laketa Germany	25	883 1.0×	284 0.6×	58 0.3×	52 0.3×	63 0.5×	41	1.6k
Anne Straube United Kingdom	27	1.4k 1.6×	1.3k 2.5×	160 0.8×	47 0.3×	34 0.2×	42	2.2k
Jennifer M. Kavran United States	17	1.7k 1.9×	698 1.4×	141 0.7×	107 0.7×	26 0.2×	29	2.1k

Countries citing papers authored by Daryl E. Klein

Since Specialization

Citations

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

Fields of papers citing papers by Daryl E. Klein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daryl E. Klein

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

All Works

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20 of 20 papers shown

Li, Tongqing, et al.. (2025). Crystal structure of Isthmin-1 and reassessment of its functional role in pre-adipocyte signaling. Nature Communications. 16(1). 3580–3580.

Wang, Yueyue, Yalan Zhang, Wenxue Li, et al.. (2024). GABAA receptor π forms channels that stimulate ERK through a G-protein-dependent pathway. Molecular Cell. 85(1). 166–176.e5. 1 indexed citations

Ren, Ping, Lei Peng, Luojia Yang, et al.. (2023). RAMIHM generates fully human monoclonal antibodies by rapid mRNA immunization of humanized mice and BCR-seq. Cell chemical biology. 30(1). 85–96.e6. 1 indexed citations

Han, Bing, Qishan Lin, Daryl E. Klein, et al.. (2023). 7SK methylation by METTL3 promotes transcriptional activity. Science Advances. 9(19). 14 indexed citations

Li, Tongqing, Steven E. Stayrook, Yuko Tsutsui, et al.. (2021). Structural basis for ligand reception by anaplastic lymphoma kinase. Nature. 600(7887). 148–152. 22 indexed citations

Verboon, Jeffrey M., Mitsutoshi Nakamura, Nour J. Abdulhay, et al.. (2020). Infantile Myelofibrosis and Myeloproliferation with CDC42Dysfunction. Journal of Clinical Immunology. 40(4). 554–566. 20 indexed citations

Kiyatkin, Anatoly, et al.. (2020). Kinetics of receptor tyrosine kinase activation define ERK signaling dynamics. Science Signaling. 13(645). 42 indexed citations

Ulirsch, Jacob C., Stephan Wilmes, Ekrem Ünal, et al.. (2016). Discovery of the First Pathogenic Human EPO Mutation Provides Mechanistic Insight into Cytokine Signaling. Blood. 128(22). 331–331. 2 indexed citations

Jenni, Simon, Yogesh Goyal, Marcin von Grotthuss, Stanislav Y. Shvartsman, & Daryl E. Klein. (2015). Structural Basis of Neurohormone Perception by the Receptor Tyrosine Kinase Torso. Molecular Cell. 60(6). 941–952. 11 indexed citations

10.

Chao, Luke H., et al.. (2014). Sequential conformational rearrangements in flavivirus membrane fusion. eLife. 3. e04389–e04389. 66 indexed citations

11.

Klein, Daryl E., Jason Choi, & Stephen C. Harrison. (2012). Structure of a Dengue Virus Envelope Protein Late-Stage Fusion Intermediate. Journal of Virology. 87(4). 2287–2293. 112 indexed citations

12.

Alvarado, Diego, Daryl E. Klein, & Mark A. Lemmon. (2010). Structural Basis for Negative Cooperativity in Growth Factor Binding to an EGF Receptor. Cell. 142(4). 568–579. 143 indexed citations

13.

Alvarado, Diego, Daryl E. Klein, & Mark A. Lemmon. (2009). ErbB2/HER2/Neu resembles an autoinhibited invertebrate EGF receptor. The FASEB Journal. 23(S1).

14.

Alvarado, Diego, Daryl E. Klein, & Mark A. Lemmon. (2009). ErbB2 resembles an autoinhibited invertebrate epidermal growth factor receptor. Nature. 461(7261). 287–291. 64 indexed citations

15.

Klein, Daryl E., Steven E. Stayrook, Fumin Shi, Kartik Narayan, & Mark A. Lemmon. (2008). Structural basis for EGFR ligand sequestration by Argos. Nature. 453(7199). 1271–1275. 42 indexed citations

16.

Reeves, Gregory T., Rachel Kalifa, Daryl E. Klein, Mark A. Lemmon, & Stanislav Y. Shvartsman. (2005). Computational analysis of EGFR inhibition by Argos. Developmental Biology. 284(2). 523–535. 36 indexed citations

17.

Klein, Daryl E., et al.. (2004). Argos inhibits epidermal growth factor receptor signalling by ligand sequestration. Nature. 430(7003). 1040–1044. 115 indexed citations

18.

Cao, Wei, Liang Liu, Daryl E. Klein, Linyi Wei, & Luhua Lai. (2000). The monomer of the yeast transcriptional activator GCN4 recognizes its dimer binding DNA target sites without dimerization. Thermochimica Acta. 360(1). 47–56. 4 indexed citations

19.

Kavran, Jennifer M., Daryl E. Klein, Anthony Lee, et al.. (1998). Specificity and Promiscuity in Phosphoinositide Binding by Pleckstrin Homology Domains. Journal of Biological Chemistry. 273(46). 30497–30508. 374 indexed citations

20.

Klein, Daryl E., et al.. (1998). The Pleckstrin Homology Domains of Dynamin Isoforms Require Oligomerization for High Affinity Phosphoinositide Binding. Journal of Biological Chemistry. 273(42). 27725–27733. 168 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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