Michael Hettich

1.2k citations
14 papers · 1k · h-index 9

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • CAR-T cell therapy research 2
    • Glioma Diagnosis and Treatment 3

Michael Hettich

13 papers receiving 979 citations

Peers

Michael Hettich
Comparison fields: 5 of 53
  • Oncology 532
  • Genetics 148
  • Radiology, Nuclear Medicine and Imaging 282
  • Immunology 124
  • Hematology 36
Replace Lekh N. Dahal with:
Lekh N. Dahal United Kingdom
Chien-Tsun Kuan United States
Dirk Zboralski United States
Pamela A. Davol United States
Jason C. Paik United States
Árpád Szöőr Hungary
Maria Caterina Rotiroti Italy
Maria Amann Switzerland
Steven D. Gillies United States
Kerry L. Cox United Kingdom
Michael Hettich relative to Lekh N. Dahal United Kingdom Lekh N. Dahal's profile →
Citations per field
00.5×2×2.6×
Lekh N. Dahal · 1×
Citations per year

Countries citing papers authored by Michael Hettich

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hettich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2019226
2 2018204
3 2016178
4 2014141
5 201488
6 201666
7 201534
8 201731
9 201919
10 20117
11 20246
12 20161
13 20261
14 20260

About Michael Hettich

Michael Hettich is a scholar working on Oncology, Genetics, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Immunology, having authored 14 papers that have together received 1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (2 papers), Genetic factors in colorectal cancer (2 papers), Medical Imaging Techniques and Applications (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Oncology (532 citations), Genetics (148 citations), Radiology, Nuclear Medicine and Imaging (282 citations), Immunology (124 citations) and Hematology (36 citations). Michael Hettich has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Gabriele Niedermann, Shruthi Prasad, Friederike Braun, Mark Daniel Bartholomä, Reinhold Schirmbeck, Simone Gaedicke, Elke Firat, Xuekai Zhu, Julia B. Schüler and Márcia Regina Machein. Their work appears in journals such as Science Translational Medicine, Cancer Research, Nature Medicine, Oncotarget and International Journal of Radiation Oncology*Biology*Physics.

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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