Markus Joppich

618 citations
19 papers · 439 · h-index 12

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Atherosclerosis and Cardiovascular Diseases
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Atherosclerosis and Cardiovascular Diseases 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • COVID-19 Clinical Research Studies 3

Markus Joppich

17 papers receiving 432 citations

Peers

Markus Joppich
Comparison fields: 5 of 67
  • Immunology 116
  • Infectious Diseases 95
  • Hematology 45
  • General Dentistry 1
  • Ecology 48
Replace Uwe Schubert with:
Uwe Schubert Germany
Emanuele Procopio France
Tyler Morrison United Kingdom
Ana Lucía Rodríguez-Perea Colombia
Djamshid Shirazian United States
Dileep D. Monie United States
Monica Bacci Italy
Vivien Polewka Germany
Halla Björnsdóttir Sweden
Lily Chan Canada
Markus Joppich relative to Uwe Schubert Germany Uwe Schubert's profile →
Citations per field
00.5×5×11.2×
Uwe Schubert · 1×
Citations per year

Countries citing papers authored by Markus Joppich

Since Specialization
Citations

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

Fields of papers citing papers by Markus Joppich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Joppich, 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 Markus Joppich Line = papers co-authored together Markus Joppich links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2021100
2 202083
3 202258
4 202337
5 202429
6 202225
7 202418
8 202518
9 202416
10 202515
11 202313
12 201912
13 20199
14 20153
15 20191
16 20221
17 20221
18 20180
19 20260

About Markus Joppich

Markus Joppich is a scholar working on Immunology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Hardware and Architecture and Information Systems and Management, having authored 19 papers that have together received 439 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Bacteriophages and microbial interactions (1 paper), Parallel Computing and Optimization Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Helicobacter pylori-related gastroenterology studies (1 paper). The work is most often cited by research in Immunology (116 citations), Infectious Diseases (95 citations), Hematology (45 citations), General Dentistry (1 citation) and Ecology (48 citations). Markus Joppich has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Ralf Zimmer, Christian Willy, Joachim J. Bugert, Chen Meng, Peter R. Braun, Christina Ludwig, Miriam Abele, Jens A. Hammerl, Gil G. Westmeyer and Kilian Vogele. Their work appears in journals such as eLife, Immunity, Thrombosis and Haemostasis, JCI Insight and Blood.

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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