Linda A. Egger

3.6k citations
17 papers · 750 · h-index 14

Impact in

Papers in

    • RNA and protein synthesis mechanisms 3
    • Glycosylation and Glycoproteins Research 2
    • Biochemical and Structural Characterization 2
    • Cell Adhesion Molecules Research 7

Linda A. Egger

17 papers receiving 725 citations

Peers

Linda A. Egger
Comparison fields: 5 of 87
  • Endocrinology 58
  • Immunology and Allergy 66
  • Molecular Medicine 37
  • Genetics 195
  • Molecular Biology 470
Replace Minyi Gu with:
Minyi Gu United States
Kelly S. Magnuson United States
Hassan Afif Canada
Pi‐Wan Cheng United States
Philip Hedge United Kingdom
Gregory M. Koningstein Netherlands
Micha A. Haeuptle Switzerland
Verena Weiss Germany
Andreas Knapp Germany
Mami Yamamoto Japan
Linda A. Egger relative to Minyi Gu United States Minyi Gu's profile →
Citations per field
00.5×1.6×
Minyi Gu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Linda A. Egger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Linda A. Egger Line = papers co-authored together Linda A. Egger links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1997148
2 2006130
3 1994103
4 199397
5 199656
6 199535
7 199829
8 200223
9 200621
10 200216
11 200216
12 200415
13 200215
14 200414
15 199713
16 200311
17 20028

About Linda A. Egger

Linda A. Egger is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Genetics and Pharmacology, having authored 17 papers that have together received 750 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Immune Response and Inflammation (4 papers), Bacterial Genetics and Biotechnology (3 papers), RNA and protein synthesis mechanisms (3 papers), Neuropeptides and Animal Physiology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Endocrinology (58 citations), Immunology and Allergy (66 citations), Molecular Medicine (37 citations), Genetics (195 citations) and Molecular Biology (470 citations). Linda A. Egger has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Masayori Inouye, Heiyoung Park, Ling Qin, Takeshi Yoshida, Ting-Ting Yamin, Julia M. Ayala, Dennis K. Miller, Jayne Chin, Matthew J. Kostura and Qing Lu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Genes to Cells, The Journal of Immunology and Journal of Interferon & Cytokine Research.

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.

Explore authors with similar magnitude of impact