Fritz C. Eilber

133 papers receiving 6.1k citations

Peers

Fritz C. Eilber
Comparison fields: 5 of 108
  • Biotechnology 1.6k
  • Pulmonary and Respiratory Medicine 3.0k
  • Oncology 1.3k
  • Rheumatology 662
  • Neurology 498
Replace Takafumi Ueda with:
Takafumi Ueda Japan
Miguel-Ángel Idoate-Gastearena Spain
Nobuhito Araki Japan
Barbara Dockhorn‐Dworniczak Germany
Guido Coggi Italy
Michèle Kind France
Emily Zhi-Yun Keung United States
Ewa Kościelniak Germany
Makio Mukai Japan
Bernard Luboinski France
Fritz C. Eilber relative to Takafumi Ueda Japan Takafumi Ueda's profile →
Citations per field
00.5×5×10×15×21.7×
Takafumi Ueda · 1×
Citations per year

Countries citing papers authored by Fritz C. Eilber

Since Specialization
Citations

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

Fields of papers citing papers by Fritz C. Eilber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fritz C. Eilber. 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 Fritz C. Eilber. The network helps show where Fritz C. Eilber may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001280
2 2013278
3 2003212
4 2007174
5 2008160
6 2009155
7 2008153
8 2009148
9 2012146
10 2004130
11
Alpha-fetoprotein-specific genetic immunotherapy for hepatocellular carcinoma.
1999123
12 2009123
13 2004123
14 2016107
15 2016105
16 2009103
17 201296
18 200996
19 201693
20 202092

About Fritz C. Eilber

Fritz C. Eilber is a scholar working on Biotechnology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Biomedical Engineering, having authored 141 papers that have together received 6.2k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (67 papers), Cancer Research and Treatments (50 papers), Nanoplatforms for cancer theranostics (36 papers), Virus-based gene therapy research (32 papers), CAR-T cell therapy research (11 papers), Vascular Tumors and Angiosarcomas (10 papers), Neurofibromatosis and Schwannoma Cases (9 papers) and Bone Tumor Diagnosis and Treatments (8 papers). The work is most often cited by research in Biotechnology (1.6k citations), Pulmonary and Respiratory Medicine (3.0k citations), Oncology (1.3k citations), Rheumatology (662 citations) and Neurology (498 citations). Fritz C. Eilber has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Sarah Dry, Frederick R. Eilber, Scott D. Nelson, William D. Tap, Jeffery J. Eckardt, Arun S. Singh, Johannes G. Czernin, Gerald Paul Rosen, Noah C. Federman and Nicholas Matthew Bernthal. Their work appears in journals such as Oncotarget, Cell Cycle, Journal of Cellular Biochemistry, Journal of Nuclear Medicine and Biochemical and Biophysical Research Communications.

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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