Daniel L. Lohse

1.2k total citations
11 papers, 1.0k citations indexed

About

Daniel L. Lohse is a scholar working on Molecular Biology, Cell Biology and Organic Chemistry. According to data from OpenAlex, Daniel L. Lohse has authored 11 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Organic Chemistry. Recurrent topics in Daniel L. Lohse's work include Glycosylation and Glycoproteins Research (3 papers), Protein Tyrosine Phosphatases (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Daniel L. Lohse is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Protein Tyrosine Phosphatases (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Daniel L. Lohse collaborates with scholars based in United States. Daniel L. Lohse's co-authors include Robert J. Linhardt, Jack E. Dixon, John M. Denu, J. Vijayalakshmi, Mark A. Saper, Nicholas Santoro, Paul F. Fitzpatrick, Kevin G. Rice, Brian R. Ernsting and Liwu Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Daniel L. Lohse

11 papers receiving 982 citations

Peers

Daniel L. Lohse
Akira Makita Japan
Jack E. Dixon United States
Stéphane Mouilleron United Kingdom
Thomas A. Beyer United States
Gregory Huyer United States
Jill S. Gregory United States
Virginia L. Rath United States
Giovanni Di Sabato United States
Brahma P. Sani United States
Michelle Lyles United States
Akira Makita Japan
Daniel L. Lohse
Citations per year, relative to Daniel L. Lohse Daniel L. Lohse (= 1×) peers Akira Makita

Countries citing papers authored by Daniel L. Lohse

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Lohse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Lohse. 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 Daniel L. Lohse. The network helps show where Daniel L. Lohse may publish in the future.

Co-authorship network of co-authors of Daniel L. Lohse

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

All Works

11 of 11 papers shown
1.
Hood, John, Jingyu Cao, Chi-Kin Chow, et al.. (2008). Development of TG101348 for the treatment of JAK2-driven malignancies. Journal of Clinical Oncology. 26(15_suppl). 7083–7083. 4 indexed citations
2.
Mak, C. H., Daniel L. Lohse, Luis Dellamary, et al.. (2007). A Dual VEGFR/JAK2 Kinase Inhibitor Suitable for Topical Delivery Inhibits Choroid Neovascularization in Mice. Investigative Ophthalmology & Visual Science. 48(13). 1469–1469. 1 indexed citations
3.
Li, Liwu, Brian R. Ernsting, Matthew J. Wishart, Daniel L. Lohse, & Jack E. Dixon. (1997). A Family of Putative Tumor Suppressors Is Structurally and Functionally Conserved in Humans and Yeast. Journal of Biological Chemistry. 272(47). 29403–29406. 131 indexed citations
4.
Zhao, Yi, Jeanne A. Stuckey, Daniel L. Lohse, & Jack E. Dixon. (1997). Expression, characterization, and crystallization of a member of the novel phospholipase D family of phosphodiesterases. Protein Science. 6(12). 2655–2658. 43 indexed citations
5.
Lohse, Daniel L., John M. Denu, Nicholas Santoro, & Jack E. Dixon. (1997). Roles of Aspartic Acid-181 and Serine-222 in Intermediate Formation and Hydrolysis of the Mammalian Protein-Tyrosine-Phosphatase PTP1. Biochemistry. 36(15). 4568–4575. 146 indexed citations
6.
Denu, John M., Daniel L. Lohse, J. Vijayalakshmi, Mark A. Saper, & Jack E. Dixon. (1996). Visualization of intermediate and transition-state structures in protein-tyrosine phosphatase catalysis.. Proceedings of the National Academy of Sciences. 93(6). 2493–2498. 214 indexed citations
7.
Daubner, S. Colette, Daniel L. Lohse, & Paul F. Fitzpatrick. (1993). Expression and characterization of catalytic and regulatory domains of rat tyrosine hydroxylase. Protein Science. 2(9). 1452–1460. 55 indexed citations
8.
Lohse, Daniel L. & Paul F. Fitzpatrick. (1993). Identification of the Intersubunit Binding Region in Rat Tyrosine Hydroxylase. Biochemical and Biophysical Research Communications. 197(3). 1543–1548. 35 indexed citations
9.
Lohse, Daniel L. & Robert J. Linhardt. (1992). Purification and characterization of heparin lyases from Flavobacterium heparinum.. Journal of Biological Chemistry. 267(34). 24347–24355. 195 indexed citations
10.
Linhardt, Robert J., et al.. (1988). Mapping and quantification of the major oligosaccharide components of heparin. Biochemical Journal. 254(3). 781–787. 133 indexed citations
11.
Linhardt, Robert J., et al.. (1986). Structure and activity of a unique heparin-derived hexasaccharide.. Journal of Biological Chemistry. 261(31). 14448–14454. 57 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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