M. Niessner

559 citations
8 papers · 476 indexed · h-index 7

Impact in

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

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 5
    • Colorectal Cancer Treatments and Studies 4
    • Pancreatic and Hepatic Oncology Research 1

M. Niessner

8 papers receiving 470 citations

Peers

M. Niessner
Comparison fields: 5 of 58
  • Immunology 205
  • Hepatology 75
  • Genetics 186
  • Gastroenterology 29
  • Oncology 111
Replace Kazuhito Sugimura with:
Kazuhito Sugimura Japan
Takuya Yoshino Japan
Kazuhiro Kyokane Japan
Silke Schüle Germany
Emma E. Dutton United Kingdom
Tamsanqa Hove Netherlands
Dawn Winsor-Hines United States
Emily Becker Germany
Yuehong Wu United States
Takaaki Nakai Japan
M. Niessner relative to Kazuhito Sugimura Japan Kazuhito Sugimura's profile →
Citations per field
00.5×1.5×
Kazuhito Sugimura · 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-authorship network

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 201628
2 201317
3 201213
4 20107
5 200837
6 199523
7 1995348
8 19913

About M. Niessner

M. Niessner is a scholar working on Hepatology, Oncology, Immunology, Genetics and Surgery, having authored 8 papers that have together received 476 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Inflammatory Bowel Disease (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Microscopic Colitis (1 paper). The work is most often cited by research in Immunology (205 citations), Hepatology (75 citations), Genetics (186 citations), Gastroenterology (29 citations) and Oncology (111 citations). M. Niessner has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Benedikt Volk, Torsten Liersch, J. Meller, Kia Homayounfar, Β. Michael Ghadimi, T Lorf, Heinz Becker, Lena‐Christin Conradi, Claus Langer and Tim Beißbarth. Their work appears in journals such as International Journal of Colorectal Disease, Immunologic Research, Clinical & Experimental Immunology, Cancer and European Journal of Clinical Investigation.

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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