Elmar Schmid

535 citations
12 papers · 438 · h-index 7

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation
  • Biochemistry top 10%
    • Sulfur Compounds in Biology

Papers in

    • Receptor Mechanisms and Signaling 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • S100 Proteins and Annexins 2
    • Metabolism, Diabetes, and Cancer 2
    • Nitric Oxide and Endothelin Effects 2

Elmar Schmid

11 papers receiving 426 citations

Peers

Elmar Schmid
Comparison fields: 5 of 78
  • Immunology 188
  • Biochemistry 51
  • Immunology and Allergy 35
  • Physiology 95
  • Aging 6
Replace Chantal Cossette with:
Chantal Cossette Canada
Mitsuyoshi Nakashima Japan
Olivier Morand Switzerland
Gérard Ribbes France
Valentina Fabbroni Italy
E.D. Salter United States
Ulla Jalonen Finland
Cosimo Marzocca Italy
Cameron World United States
R.‐J. Kuban Germany
Elmar Schmid relative to Chantal Cossette Canada Chantal Cossette's profile →
Citations per field
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Chantal Cossette · 1×
Citations per year

Countries citing papers authored by Elmar Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Elmar Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elmar Schmid. 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 Elmar Schmid. The network helps show where Elmar Schmid may publish in the future.

Co-authors

The 18 scholars most cited alongside Elmar Schmid, 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 Elmar Schmid Line = papers co-authored together Elmar Schmid links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1996224
2 199969
3 199864
4 199845
5 199311
6 19949
7 19836
8 19994
9 19963
10 20152
11 20151
12
[Studies on the pharmacology of benzoic acid, parachlorobenzoic acid, parahydroxybenzoic acid and its esters].
19560

About Elmar Schmid

Elmar Schmid is a scholar working on Molecular Biology, Physiology, Immunology, General Health Professions and Organic Chemistry, having authored 12 papers that have together received 438 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Nitric Oxide and Endothelin Effects (2 papers), S100 Proteins and Annexins (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Social and Demographic Issues in Germany (2 papers) and Health and Medical Studies (2 papers). The work is most often cited by research in Immunology (188 citations), Biochemistry (51 citations), Immunology and Allergy (35 citations), Physiology (95 citations) and Aging (6 citations). Elmar Schmid has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jamel El‐Benna, Wulf Dröge, Bernard Babior, Richard J. Ulevitch, Jeen‐Woo Park, Jiahuai Han, Volker Hack, Agnes Hotz‐Wagenblatt, Dagmar Galter and Georg Klein. Their work appears in journals such as The FASEB Journal, BioFactors, Antioxidants and Redox Signaling, Molecular Pharmacology and Journal of Medicinal Chemistry.

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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