H. Raith

916 citations
16 papers · 732 · h-index 11

Impact in

Papers in

    • Lung Cancer Research Studies 8
    • Peptidase Inhibition and Analysis 5
    • Neuroendocrine Tumor Research Advances 4
    • Liver Disease Diagnosis and Treatment 4

H. Raith

15 papers receiving 704 citations

Peers

H. Raith
Comparison fields: 5 of 78
  • Hepatology 123
  • Orthopedics and Sports Medicine 82
  • Cancer Research 131
  • Oncology 207
  • Epidemiology 186
Replace Martin Bodingbauer with:
Martin Bodingbauer Austria
Hongyu Zhang China
W Roos Netherlands
Masafumi Sugiyama Japan
Jingjing Guo China
Isabella Lurje Germany
Antonio Sánchez United States
Chao Cai China
Shinji Katsushima Japan
Motonobu Watanabe Japan
H. Raith relative to Martin Bodingbauer Austria Martin Bodingbauer's profile →
Citations per field
00.5×1.7×
Martin Bodingbauer · 1×
Citations per year

Countries citing papers authored by H. Raith

Since Specialization
Citations

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

Fields of papers citing papers by H. Raith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008114
2 2004109
3 1987108
4 199994
5 200889
6 200860
7 200650
8
Evaluation of quantitative liver function tests in liver donors.
198733
9 200324
10
Clinical relevance of thymidine kinase for the diagnosis, therapy monitoring and prognosis of non-operable lung cancer.
201017
11 199215
12 19978
13
Donor rating in human liver transplantation: correlation of oxygen consumption after revascularization with MEGX formation in donors.
19895
14 20084
15 20032
16 20040

About H. Raith

H. Raith is a scholar working on Oncology, Epidemiology, Molecular Biology, Hepatology and Surgery, having authored 16 papers that have together received 732 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (8 papers), RNA modifications and cancer (5 papers), Peptidase Inhibition and Analysis (5 papers), Liver Disease and Transplantation (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Hepatology (123 citations), Orthopedics and Sports Medicine (82 citations), Cancer Research (131 citations), Oncology (207 citations) and Epidemiology (186 citations). H. Raith has collaborated with scholars based in Germany, Netherlands and Switzerland. Frequent co-authors include P Stieber, Joachim von Pawel, Stefan Holdenrieder, Dorothea Nagel, Knut Feldmann, D. Seidel, Michael Oellerich, B Ringe, M. Burdelski and Thomas Duell. Their work appears in journals such as Journal of Clinical Oncology, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Cancer Research, Annals of the New York Academy of Sciences and Lung Cancer.

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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