Karl J. Mathis

747 total citations
17 papers, 509 citations indexed

About

Karl J. Mathis is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Karl J. Mathis has authored 17 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Karl J. Mathis's work include Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Karl J. Mathis is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Karl J. Mathis collaborates with scholars based in United States, New Zealand and China. Karl J. Mathis's co-authors include Alfredo G. Tomasselli, Gwen G. Krivi, Peter C. Isakson, Scott D. Hauser, D. Welsch, David Creely, Jennifer M. Williams, Beverly A. Reitz, Huey‐Sheng Shieh and Thomas L. Emmons and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Karl J. Mathis

17 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl J. Mathis United States 10 303 78 71 63 63 17 509
N Takami Japan 10 312 1.0× 60 0.8× 77 1.1× 70 1.1× 65 1.0× 13 535
Kyoichiro Higashi Japan 11 399 1.3× 110 1.4× 115 1.6× 38 0.6× 29 0.5× 15 628
Masayuki Okada Japan 10 419 1.4× 84 1.1× 140 2.0× 24 0.4× 42 0.7× 11 632
Rosalie Matico United States 12 338 1.1× 78 1.0× 80 1.1× 69 1.1× 17 0.3× 17 564
Anil D’Souza United States 11 319 1.1× 80 1.0× 203 2.9× 130 2.1× 51 0.8× 18 620
Barbara Lamb United States 18 418 1.4× 80 1.0× 75 1.1× 31 0.5× 129 2.0× 27 633
Ute Brassat Germany 8 300 1.0× 72 0.9× 38 0.5× 111 1.8× 26 0.4× 8 468
Jesse L. Bobbitt United States 11 379 1.3× 47 0.6× 68 1.0× 41 0.7× 116 1.8× 17 621
MV Blagosklonny United States 9 547 1.8× 185 2.4× 112 1.6× 25 0.4× 54 0.9× 9 773

Countries citing papers authored by Karl J. Mathis

Since Specialization
Citations

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

Fields of papers citing papers by Karl J. Mathis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl J. Mathis. 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 Karl J. Mathis. The network helps show where Karl J. Mathis may publish in the future.

Co-authorship network of co-authors of Karl J. Mathis

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

All Works

17 of 17 papers shown
1.
Mathis, Karl J., et al.. (2023). Successful intraoperative ultrasound‐guided retrieval of intracranial grass seed foreign body in a 4‐month‐old puppy. Veterinary Radiology & Ultrasound. 64(6). E88–E92. 1 indexed citations
2.
Mathis, Karl J., et al.. (2020). Canine cauda equina neuritis secondary to neospora. Veterinary Record Case Reports. 8(1). 1 indexed citations
3.
Shieh, Huey‐Sheng, Alfredo G. Tomasselli, Karl J. Mathis, et al.. (2011). Structure analysis reveals the flexibility of the ADAMTS‐5 active site. Protein Science. 20(4). 735–744. 13 indexed citations
4.
Barta, Thomas E., Daniel P. Becker, Louis J. Bedell, et al.. (2011). MMP-13 selective α-sulfone hydroxamates: A survey of P1′ heterocyclic amide isosteres. Bioorganic & Medicinal Chemistry Letters. 21(10). 2820–2822. 7 indexed citations
5.
Meyers, Marvin J., Matthew J. Pelc, Satwik Kamtekar, et al.. (2010). Structure-based drug design enables conversion of a DFG-in binding CSF-1R kinase inhibitor to a DFG-out binding mode. Bioorganic & Medicinal Chemistry Letters. 20(5). 1543–1547. 31 indexed citations
6.
Tortorella, Micky D., Alfredo G. Tomasselli, Karl J. Mathis, et al.. (2009). Structural and Inhibition Analysis Reveals the Mechanism of Selectivity of a Series of Aggrecanase Inhibitors. Journal of Biological Chemistry. 284(36). 24185–24191. 50 indexed citations
7.
Wasilko, David J., K J Stutzman-Engwall, Beverly A. Reitz, et al.. (2009). The titerless infected-cells preservation and scale-up (TIPS) method for large-scale production of NO-sensitive human soluble guanylate cyclase (sGC) from insect cells infected with recombinant baculovirus. Protein Expression and Purification. 65(2). 122–132. 82 indexed citations
8.
Emmons, Thomas L., Karl J. Mathis, Mary E. Shuck, et al.. (2009). Purification and characterization of recombinant human soluble guanylate cyclase produced from baculovirus-infected insect cells. Protein Expression and Purification. 65(2). 133–139. 4 indexed citations
9.
Mathis, Karl J., Thomas L. Emmons, Daniel F. Curran, Jacqueline E. Day, & Alfredo G. Tomasselli. (2008). High yield purification of soluble guanylate cyclase from bovine lung. Protein Expression and Purification. 60(1). 58–63. 4 indexed citations
10.
Trujillo, John I., James R. Kiefer, Wei Huang, et al.. (2008). 2-(6-Phenyl-1H-indazol-3-yl)-1H-benzo[d]imidazoles: Design and synthesis of a potent and isoform selective PKC-ζ inhibitor. Bioorganic & Medicinal Chemistry Letters. 19(3). 908–911. 41 indexed citations
11.
Shieh, Huey‐Sheng, Karl J. Mathis, Jennifer M. Williams, et al.. (2007). High Resolution Crystal Structure of the Catalytic Domain of ADAMTS-5 (Aggrecanase-2). Journal of Biological Chemistry. 283(3). 1501–1507. 63 indexed citations
12.
Wood, David C., et al.. (2003). Mammalian cell production and purification of progenipoietin, a dual‐agonist chimaeric haematopoietic growth factor. Biotechnology and Applied Biochemistry. 37(1). 31–38. 1 indexed citations
13.
Violand, Bernard N., et al.. (2002). Purification and characterization of progenipoietins produced in Escherichia. coli. Protein Expression and Purification. 26(2). 275–283. 3 indexed citations
14.
Welsch, D., David Creely, Scott D. Hauser, et al.. (1994). Molecular cloning and expression of human leukotriene-C4 synthase.. Proceedings of the National Academy of Sciences. 91(21). 9745–9749. 104 indexed citations
15.
Obukowicz, Mark G., et al.. (1990). Secretion of active kringle-2-serine protease in Escherichia coli. Biochemistry. 29(41). 9737–9745. 23 indexed citations
16.
Wong, Edith Y., Ramnath Seetharam, Claire E. Kotts, et al.. (1988). Expression of secreted insulin-like growth factor-1 in Escherichia coli. Gene. 68(2). 193–203. 30 indexed citations
17.
Seetharam, Ramnath, Edith Y. Wong, Barbara K. Klein, et al.. (1988). Mistranslation in IGF-1 during over-expression of the protein in Escherichia coli using a synthetic gene containing low frequency codons. Biochemical and Biophysical Research Communications. 155(1). 518–523. 51 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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