M. Hipp

735 citations
12 papers · 384 · h-index 6

Impact in

    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • interferon and immune responses
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Fluid Dynamics Simulations and Interactions 5
    • Advanced Numerical Methods in Computational Mathematics 2
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 3
    • interferon and immune responses 1

M. Hipp

11 papers receiving 379 citations

Peers

M. Hipp
Comparison fields: 5 of 64
  • Immunology 187
  • Oncology 133
  • Cancer Research 35
  • Pulmonary and Respiratory Medicine 57
  • Hepatology 14
Replace Fengyan Xu with:
Fengyan Xu China
Kathleen M. Bengali United States
J Maral France
Sho Kitagawa Japan
Tomoko Kawabata Japan
Jeffrey Schlom United States
Kristiyan Kanev Germany
Takaaki Sugimoto Japan
Timothy Affolter United States
Jian-Min Yang China
M. Hipp relative to Fengyan Xu China Fengyan Xu's profile →
Citations per field
00.5×2×3×4×
Fengyan Xu · 1×
Citations per year

Countries citing papers authored by M. Hipp

Since Specialization
Citations

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

Fields of papers citing papers by M. Hipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008245
2 201374
3 200420
4 201714
5 201514
6 19997
7 20045
8 20062
9 20031
10 20061
11 20021
12 20000

About M. Hipp

M. Hipp is a scholar working on Computational Mechanics, Immunology, Astronomy and Astrophysics, Statistical and Nonlinear Physics and Virology, having authored 12 papers that have together received 384 indexed citations. Recurring topics across this work include Fluid Dynamics Simulations and Interactions (5 papers), Immunotherapy and Immune Responses (3 papers), Astro and Planetary Science (3 papers), Immune Response and Inflammation (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Scientific Research and Discoveries (2 papers), interferon and immune responses (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Immunology (187 citations), Oncology (133 citations), Cancer Research (35 citations), Pulmonary and Respiratory Medicine (57 citations) and Hepatology (14 citations). M. Hipp has collaborated with scholars based in Germany, United Kingdom and South Africa. Frequent co-authors include Steffen Walter, Markus Philipp Radsak, Peter Brossart, Toni Weinschenk, Daniela Werth, Norbert Hilf, Katharina M. Brauer, Harpreet Singh‐Jasuja, Vincenzo Cerundolo and Caetano Reis e Sousa. Their work appears in journals such as Immunity, The Journal of Immunology, Blood, International Journal of Radiation Oncology*Biology*Physics and The EMBO Journal.

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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