Moritz Hess

1.2k citations
35 papers · 825 · h-index 15

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer

Papers in

Moritz Hess

33 papers receiving 817 citations

Peers

Moritz Hess
Comparison fields: 5 of 118
  • Hepatology 53
  • Immunology 136
  • Cell Biology 88
  • Pulmonary and Respiratory Medicine 155
  • Oncology 126
Replace Bin Qi Gan with:
Bin Qi Gan China
Xiaofeng Dong China
Grant Hayman United Kingdom
Matthew Anaka Australia
Elizabeth Colby United Kingdom
Denis Seyres United Kingdom
Shin Ichihara Japan
Rashid Kazmi United Kingdom
Zhou Tong China
Diane Lawson United States
Moritz Hess relative to Bin Qi Gan China Bin Qi Gan's profile →
Citations per field
00.5×1.5×2×2.4×
Bin Qi Gan · 1×
Citations per year

Countries citing papers authored by Moritz Hess

Since Specialization
Citations

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

Fields of papers citing papers by Moritz Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022156
2 2018141
3 201887
4 201979
5 201948
6 202230
7 201725
8 201624
9 201723
10 202220
11 201619
12 201719
13 202119
14 201515
15 201815
16 202015
17 202113
18 201611
19 20188
20 20208

About Moritz Hess

Moritz Hess is a scholar working on Cell Biology, Immunology, Hepatology, Molecular Biology and Genetics, having authored 35 papers that have together received 825 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (7 papers), Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (4 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Ophthalmology and Visual Impairment Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Hepatology (53 citations), Immunology (136 citations), Cell Biology (88 citations), Pulmonary and Respiratory Medicine (155 citations) and Oncology (126 citations). Moritz Hess has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Harald Binder, Stefan Lenz, Peter Robert Galle, Detlef Schuppan, Aslihan Gerhold‐Ay, Ernesto Bockamp, Diana Becker, Friedrich Wilhelm Foerster, Jens Uwe Marquardt and Ingo Ensminger. Their work appears in journals such as Scientific Reports, Molecular Medicine, British Journal of Dermatology, Briefings in Bioinformatics and PLoS ONE.

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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