Fernando Bittinger

3.5k citations
54 papers · 2.7k · h-index 27

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 5%
    • Lung Cancer Research Studies

Papers in

Fernando Bittinger

53 papers receiving 2.6k citations

Peers

Fernando Bittinger
Comparison fields: 5 of 123
  • Hepatology 328
  • Oncology 727
  • Immunology and Allergy 111
  • Epidemiology 605
  • Pulmonary and Respiratory Medicine 557
Replace Masato Fujii with:
Masato Fujii Japan
Kyubo Kim South Korea
Chan Kim South Korea
Birgit Sawitzki Germany
Yan Liang China
Enric Condom Spain
Jo H. M. Berden Netherlands
Gorô Asano Japan
Pedro Gascón United States
Tomoki Origuchi Japan
Fernando Bittinger relative to Masato Fujii Japan Masato Fujii's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fernando Bittinger

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bittinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006304
2 2002295
3 2003226
4 2001128
5
Characterization of c-kit expression in small cell lung cancer: prognostic and therapeutic implications.
2003124
6 2000121
7 199791
8 200385
9 200080
10 200076
11 200174
12 200873
13 200373
14 199472
15 200162
16 200961
17 199547
18 199543
19 200337
20 200233

About Fernando Bittinger

Fernando Bittinger is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Epidemiology, having authored 54 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (5 papers), Nicotinic Acetylcholine Receptors Study (5 papers), Glycosylation and Glycoproteins Research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), Immune Response and Inflammation (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Hepatology (328 citations), Oncology (727 citations), Immunology and Allergy (111 citations), Epidemiology (605 citations) and Pulmonary and Respiratory Medicine (557 citations). Fernando Bittinger has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include C. James Kirkpatrick, Ignaz Wessler, H. Kilbinger, Roland Buhl, Ronald E. Unger, Patrick Micke, Jan G. Hengstler, Andreas Faldum, Hans‐Anton Lehr and Gerd Otto. Their work appears in journals such as Pathobiology, Life Sciences, International Journal of Cancer, The Journal of Pathology and 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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