H. Becker

25 papers receiving 741 citations

Peers

H. Becker
Comparison fields: 5 of 76
  • Biotechnology 93
  • Pathology and Forensic Medicine 139
  • Endocrinology 35
  • Oncology 165
  • Cancer Research 83
Replace Philip F. Mixter with:
Philip F. Mixter United States
Manuela Vici Italy
Jalil Hakimi Canada
Jiang Chang China
Jennifer Raisch France
Farshad Niazi United States
Stefanie Deppenmeier Germany
Jianhong Yao China
Yuko Takahashi Japan
Farah Nassar Lebanon
H. Becker relative to Philip F. Mixter United States Philip F. Mixter's profile →
Citations per field
00.5×4.9×
Philip F. Mixter · 1×
Citations per year

Countries citing papers authored by H. Becker

Since Specialization
Citations

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

Fields of papers citing papers by H. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010163
2 1994126
3
Exclusion of breast cancer as an integral tumor of hereditary nonpolyposis colorectal cancer.
200275
4 201444
5 200140
6 201039
7 199739
8 199738
9 200633
10 199829
11 200524
12 200521
13 199718
14 200215
15
Unusual features of multiple endocrine neoplasia.
199214
16 199912
17 20018
18 20078
19 19985
20 20005

About H. Becker

H. Becker is a scholar working on Molecular Biology, Surgery, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 28 papers that have together received 767 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Cancer Genomics and Diagnostics (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Colorectal Cancer Screening and Detection (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Identification and Quantification in Food (3 papers), Reproductive tract infections research (3 papers) and Food Safety and Hygiene (2 papers). The work is most often cited by research in Biotechnology (93 citations), Pathology and Forensic Medicine (139 citations), Endocrinology (35 citations), Oncology (165 citations) and Cancer Research (83 citations). H. Becker has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include G. Terplan, Β. Michael Ghadimi, Jochen Gaedcke, Thomas Ried, Jordi Camps, Marian Grade, Georg Emons, Tim Beißbarth, Klaus Jung and Peter Jo. Their work appears in journals such as Mycoses, Letters in Applied Microbiology, Cancer, Food and Agricultural Immunology and Journal of Clinical Microbiology.

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.

Explore authors with similar magnitude of impact