M. Niessner

560 citations
8 papers · 478 · h-index 7

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 1
    • Hepatocellular Carcinoma Treatment and Prognosis 3

M. Niessner

8 papers receiving 476 citations

Peers

M. Niessner
Comparison fields: 5 of 56
  • Hepatology 64
  • Immunology 145
  • Genetics 157
  • Gastroenterology 22
  • Epidemiology 87
Replace Paul Hellstern with:
Paul Hellstern United States
Nathalie Clerget–Chossat France
Alice Miles United Kingdom
Emma E. Dutton United Kingdom
Peter Eerligh Netherlands
Takaaki Nakai Japan
Alexandru Simion Belgium
Kara Hunter United Kingdom
Shin Fukui Japan
Trine Olsen Norway
M. Niessner relative to Paul Hellstern United States Paul Hellstern's profile →
Citations per field
00.5×1.5×
Paul Hellstern · 1×
Citations per year

Countries citing papers authored by M. Niessner

Since Specialization
Citations

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

Fields of papers citing papers by M. Niessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Niessner, 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 M. Niessner Line = papers co-authored together M. Niessner links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1995348
2 200837
3 201630
4 199523
5 201317
6 201213
7 20107
8 19913

About M. Niessner

M. Niessner is a scholar working on Immunology, Hepatology, Genetics, Oncology and Epidemiology, having authored 8 papers that have together received 478 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Inflammatory Bowel Disease (2 papers), Microscopic Colitis (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Hepatology (64 citations), Immunology (145 citations), Genetics (157 citations), Gastroenterology (22 citations) and Epidemiology (87 citations). M. Niessner has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Benedikt Volk, Torsten Liersch, J. Meller, Kia Homayounfar, Β. Michael Ghadimi, T Lorf, Lena‐Christin Conradi, Heinz Becker, Claus Langer and Tim Beißbarth. Their work appears in journals such as International Journal of Colorectal Disease, European Journal of Clinical Investigation, Cancer, Immunologic Research and Clinical & Experimental Immunology.

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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