H. Moch

45 papers receiving 2.1k citations

Peers

H. Moch
Comparison fields: 5 of 86
  • Cancer Research 405
  • Oncology 665
  • Surgery 526
  • Pulmonary and Respiratory Medicine 380
  • Pathology and Forensic Medicine 201
Replace Pinuccia Faviana with:
Pinuccia Faviana Italy
Erminia Manfrin Italy
Giuseppe Badalamenti Italy
Thuy L. Phung United States
Allan Topham United States
Eva Karamitopoulou Switzerland
Sebastian Aulmann Germany
Aasmund Berner Norway
Rafael E. Jiménez United States
Jin Hee Sohn South Korea
H. Moch relative to Pinuccia Faviana Italy Pinuccia Faviana's profile →
Citations per field
00.5×1.5×2.0×
Pinuccia Faviana · 1×
Citations per year

Countries citing papers authored by H. Moch

Since Specialization
Citations

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

Fields of papers citing papers by H. Moch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tissue microarrays for gene amplification surveys in many different tumor types.
1999376
2 2001238
3
Marked genetic differences between stage pTa and stage pT1 papillary bladder cancer detected by comparative genomic hybridization.
1997200
4
Prognostic significance of Bcl-2 in clinically localized prostate cancer.
1996137
5 1998115
6 1999114
7 1999113
8 200590
9 199765
10 200662
11 200059
12
Association of p27Kip1, cyclin E and c-myc expression with progression and prognosis in HPV-positive cervical neoplasms.
199952
13 200350
14 200049
15 200247
16 202246
17 200444
18 199540
19 199840
20 200836

About H. Moch

H. Moch is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Diagnosis and Treatment (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Genomics and Diagnostics (3 papers), Breast Lesions and Carcinomas (3 papers) and Economic and Financial Impacts of Cancer (3 papers). The work is most often cited by research in Cancer Research (405 citations), Oncology (665 citations), Surgery (526 citations), Pulmonary and Respiratory Medicine (380 citations) and Pathology and Forensic Medicine (201 citations). H. Moch has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Michael J. Mihatsch, Guido Sauter, Lukas Bubendorf, Thomas C. Gasser, Peter Schraml, G Sauter, Antonio Nocito, Juha Kononen, Jan Richter and Olli Kallioniemi. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Pathology, American Journal Of Pathology, Histopathology and Breast Cancer Research and Treatment.

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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