Friedhelm Bladt

45 papers receiving 5.4k citations

Friedhelm Bladt's Hit Papers

ICOS is essential for effective T-helper-cell responses 2001 · 558 citations
5580+10+20Years since publication2505007501000

Peers

Friedhelm Bladt
Comparison fields: 5 of 117
  • Hepatology 1.8k
  • Developmental Neuroscience 247
  • Immunology 969
  • Nephrology 293
  • Endocrinology 205
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Citations per year

Countries citing papers authored by Friedhelm Bladt

Since Specialization
Citations

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

Fields of papers citing papers by Friedhelm Bladt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scatter factor/hepatocyte growth factor is essential for liver development
Hit paper breakdown →
19951145
2
Essential role for the c-met receptor in the migration of myogenic precursor cells into the limb bud
Hit paper breakdown →
19951049
3
ICOS is essential for effective T-helper-cell responses
Hit paper breakdown →
2001558
4 2006378
5 1996356
6 2001295
7 1999258
8 2003175
9 2003153
10 2009124
11 2013114
12 2000109
13 199187
14 199886
15 200777
16 201568
17 201967
18 200459
19 200258
20 201455

About Friedhelm Bladt

Friedhelm Bladt is a scholar working on Hepatology, Molecular Biology, Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 46 papers that have together received 5.6k indexed citations. Recurring topics across this work include Liver physiology and pathology (25 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Cancer Mechanisms and Therapy (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Hepatology (1.8k citations), Developmental Neuroscience (247 citations), Immunology (969 citations), Nephrology (293 citations) and Endocrinology (205 citations). Friedhelm Bladt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Carmen Birchmeier, Adriano Aguzzi, Stefan Isenmann, Dieter Riethmacher, Tony Pawson, Ermanno Gherardi, Volker Brinkmann, W Zschiesche, Claudia Schmidt and Agostino Tafuri. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Nature, Journal of Clinical Oncology and Proceedings of the National Academy of Sciences.

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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