Linda A. Egger

3.6k total citations
17 papers, 750 citations indexed

About

Linda A. Egger is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Linda A. Egger has authored 17 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and Allergy and 5 papers in Immunology. Recurrent topics in Linda A. Egger's work include Cell Adhesion Molecules Research (7 papers), Immune Response and Inflammation (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Linda A. Egger is often cited by papers focused on Cell Adhesion Molecules Research (7 papers), Immune Response and Inflammation (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Linda A. Egger collaborates with scholars based in United States and United Kingdom. Linda A. Egger's co-authors include Masayori Inouye, Heiyoung Park, Ling Qin, Takeshi Yoshida, Ting-Ting Yamin, Dennis K. Miller, Julia M. Ayala, Jayne Chin, Matthew J. Kostura and Qing Lu and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biochemical and Biophysical Research Communications.

In The Last Decade

Linda A. Egger

17 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda A. Egger United States 14 470 195 141 86 66 17 750
Micha A. Haeuptle Switzerland 13 389 0.8× 106 0.5× 87 0.6× 89 1.0× 20 0.3× 14 564
Gregory M. Koningstein Netherlands 20 881 1.9× 411 2.1× 140 1.0× 31 0.4× 34 0.5× 36 1.1k
Andreas Knapp Germany 14 414 0.9× 75 0.4× 67 0.5× 54 0.6× 26 0.4× 27 685
Minyi Gu United States 13 797 1.7× 187 1.0× 81 0.6× 18 0.2× 66 1.0× 17 1.1k
Gun Wook Park South Korea 15 715 1.5× 58 0.3× 98 0.7× 57 0.7× 23 0.3× 27 1.0k
Kelly S. Magnuson United States 8 703 1.5× 133 0.7× 175 1.2× 78 0.9× 10 0.2× 8 1.1k
Alexander Eichner Germany 6 677 1.4× 123 0.6× 96 0.7× 37 0.4× 31 0.5× 7 921
Philip Hedge United Kingdom 14 931 2.0× 332 1.7× 60 0.4× 71 0.8× 22 0.3× 18 1.4k
Hassan Afif Canada 13 517 1.1× 221 1.1× 45 0.3× 29 0.3× 16 0.2× 24 935
Peter Buckel Germany 16 837 1.8× 253 1.3× 83 0.6× 30 0.3× 11 0.2× 31 1.1k

Countries citing papers authored by Linda A. Egger

Since Specialization
Citations

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

Fields of papers citing papers by Linda A. Egger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda A. Egger

This figure shows the co-authorship network connecting the top 25 collaborators of Linda A. Egger. A scholar is included among the top collaborators of Linda A. Egger 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 Linda A. Egger. Linda A. Egger 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.
Yoshida, Takeshi, Ling Qin, Linda A. Egger, & Masayori Inouye. (2006). Transcription Regulation of ompF and ompC by a Single Transcription Factor, OmpR. Journal of Biological Chemistry. 281(25). 17114–17123. 130 indexed citations
2.
Meurer, Laura C., Paul E. Finke, Karen Owens, et al.. (2006). Cyclopentane-based human NK1 antagonists. Part 2: Development of potent, orally active, water-soluble derivatives. Bioorganic & Medicinal Chemistry Letters. 16(17). 4504–4511. 21 indexed citations
3.
Kamenecka, Theodore M., Linus S. Lin, Ermengilda McCauley, et al.. (2004). Amidines as amide bond replacements in VLA-4 antagonists. Bioorganic & Medicinal Chemistry Letters. 14(9). 2323–2326. 15 indexed citations
4.
Lin, Linus S., Thomas J. Lanza, Laurie A. Castonguay, et al.. (2004). Bioisosteric replacement of anilide with benzoxazole: potent and orally bioavailable antagonists of VLA-4. Bioorganic & Medicinal Chemistry Letters. 14(9). 2331–2334. 14 indexed citations
5.
Gutteridge, Clare E., Stephen E. de Laszlo, Theodore M. Kamenecka, et al.. (2003). N-(3-Phenylsulfonyl-3-piperidinoyl)-phenylalanine derivatives as potent, selective VLA-4 antagonists. Bioorganic & Medicinal Chemistry Letters. 13(5). 885–890. 11 indexed citations
6.
Lin, Linus S., Thomas J. Lanza, Gail Van Riper, et al.. (2002). Specific and dual antagonists of α4β1 and α4β7 integrins. Bioorganic & Medicinal Chemistry Letters. 12(2). 133–136. 16 indexed citations
7.
Yang, Ginger X., Linda Chang, Quang Truong, et al.. (2002). N-Tetrahydrofuroyl-(l)-phenylalanine derivatives as potent VLA-4 antagonists. Bioorganic & Medicinal Chemistry Letters. 12(11). 1497–1500. 23 indexed citations
8.
Kamenecka, Theodore M., Thomas J. Lanza, Stephen E. de Laszlo, et al.. (2002). N-Aryl-prolyl-dipeptides as potent antagonists of VLA-4. Bioorganic & Medicinal Chemistry Letters. 12(16). 2205–2208. 8 indexed citations
9.
Doherty, George, Ginger X. Yang, Linda Chang, et al.. (2002). Substituted tetrahydrofuroyl-1-phenylalanine derivatives as potent and specific VLA-4 antagonists. Bioorganic & Medicinal Chemistry Letters. 12(11). 1501–1505. 16 indexed citations
10.
Chang, Linda, Quang Truong, Richard A. Mumford, et al.. (2002). The discovery of small molecule carbamates as potent dual α4β1/α4β7 integrin antagonists. Bioorganic & Medicinal Chemistry Letters. 12(2). 159–163. 15 indexed citations
12.
Egger, Linda A., Heiyoung Park, & Masayori Inouye. (1997). Signal transduction via the histidyl‐aspartyl phosphorelay. Genes to Cells. 2(3). 167–184. 148 indexed citations
13.
Egger, Linda A. & Masayori Inouye. (1997). Purification and Characterization of the Periplasmic Domain of EnvZ Osmosensor inEscherichia coli. Biochemical and Biophysical Research Communications. 231(1). 68–72. 13 indexed citations
14.
Lu, Qing, Heiyoung Park, Linda A. Egger, & Masayori Inouye. (1996). Nucleoside-diphosphate Kinase-mediated Signal Transduction via Histidyl-Aspartyl Phosphorelay Systems in Escherichia coli. Journal of Biological Chemistry. 271(51). 32886–32893. 56 indexed citations
15.
Fletcher, D., Jayne Chin, Linda A. Egger, et al.. (1995). A Synthetic Inhibitor of Interleukin-lβ Converting Enzyme Prevents Endotoxin-Induced Interleukin-lβ Production In Vitro and In Vivo. Journal of Interferon & Cytokine Research. 15(3). 243–248. 35 indexed citations
16.
Ayala, Julia M., Ting-Ting Yamin, Linda A. Egger, et al.. (1994). IL-1 beta -converting enzyme is present in monocytic cells as an inactive 45-kDa precursor.. The Journal of Immunology. 153(6). 2592–2599. 103 indexed citations
17.
Miller, Dennis K., Julia M. Ayala, Linda A. Egger, et al.. (1993). Purification and characterization of active human interleukin-1 beta-converting enzyme from THP.1 monocytic cells.. Journal of Biological Chemistry. 268(24). 18062–18069. 97 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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