Holger Maier

2.1k citations
14 papers · 554 · h-index 9

Impact in

    • Systemic Lupus Erythematosus Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Atherosclerosis and Cardiovascular Diseases
    • Immune Cell Function and Interaction

Papers in

    • RNA and protein synthesis mechanisms 3
    • Biomedical Text Mining and Ontologies 3
    • Single-cell and spatial transcriptomics 2
    • Bioinformatics and Genomic Networks 2
    • interferon and immune responses 2

Holger Maier

14 papers receiving 546 citations

Peers

Holger Maier
Comparison fields: 5 of 90
  • Rheumatology 180
  • Immunology 231
  • Nephrology 57
  • Oncology 140
  • Molecular Biology 221
Replace J D Mountz with:
J D Mountz United States
Koichi Ayukawa Japan
Ruiqiong Wu United States
Michiyo Hatanaka Japan
Tom Sculley Australia
Claude Tschopp Switzerland
John Whoriskey United States
Elettra Bianchi Belgium
Stacey B. Andersen Australia
Oliver Kemper Israel
Holger Maier relative to J D Mountz United States J D Mountz's profile →
Citations per field
00.5×10×15×18×
J D Mountz · 1×
Citations per year

Countries citing papers authored by Holger Maier

Since Specialization
Citations

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

Fields of papers citing papers by Holger Maier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2001206
2 200586
3 200279
4 200951
5 200538
6 200437
7 199626
8 20009
9 20088
10 20096
11 20223
12 20232
13 20192
14 20171

About Holger Maier

Holger Maier is a scholar working on Molecular Biology, Immunology, Oncology, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 14 papers that have together received 554 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Biomedical Text Mining and Ontologies (3 papers), Chemokine receptors and signaling (3 papers), interferon and immune responses (2 papers), Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Bioinformatics and Genomic Networks (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Rheumatology (180 citations), Immunology (231 citations), Nephrology (57 citations), Oncology (140 citations) and Molecular Biology (221 citations). Holger Maier has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Bruno Luckow, Guillermo Pérez de Lema, F Mampaso, Detlef SchloCombining Diaeresisndorff, Elena Nieto, Volker Vielhauer, Thomas Werner, Peter J. Nelson, Sabine Fessele and Silvia Chilla. Their work appears in journals such as Journal of the American Society of Nephrology, Nucleic Acids Research, Current Opinion in Systems Biology, Gene and BMC Neuroscience.

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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