Beate Haugk

1.0k citations
40 papers · 590 indexed · h-index 15

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 17
    • Cancer Genomics and Diagnostics 5
    • Cancer, Hypoxia, and Metabolism 4

Beate Haugk

39 papers receiving 577 citations

Peers

Beate Haugk
Comparison fields: 5 of 60
  • Oncology 326
  • Hepatology 72
  • Epidemiology 203
  • Cancer Research 82
  • Surgery 211
Replace David Saavedra-Pérez with:
David Saavedra-Pérez Spain
Jinyu Gu United States
Kwang Wook Suh South Korea
Matilde Cacciatore Italy
Osamu Okochi Japan
Thierry Nguyen France
Maria D. Begnami Brazil
Yota Kawasaki Japan
Seizo Masutani Japan
Beate Haugk relative to David Saavedra-Pérez Spain David Saavedra-Pérez's profile →
Citations per field
00.5×1.5×2.5×
David Saavedra-Pérez · 1×
Citations per year

Countries citing papers authored by Beate Haugk

Since Specialization
Citations

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

Fields of papers citing papers by Beate Haugk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20254
2 202127
3 20212
4 202014
5 202010
6 20192
7 20179
8 20177
9 201614
10 201544
11 20132
12 20124
13 201220
14 201256
15 201114
16 20105
17 201027
18 200478
19
Expression of topoisomerase III alpha in normal and neoplastic tissues determined by immunohistochemistry using a novel monoclonal antibody
20001
20 20004

About Beate Haugk

Beate Haugk is a scholar working on Oncology, Cancer Research, Hepatology, Surgery and Rheumatology, having authored 40 papers that have together received 590 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (17 papers), Pancreatitis Pathology and Treatment (9 papers), Neuroendocrine Tumor Research Advances (6 papers), Cancer Genomics and Diagnostics (5 papers), Gastrointestinal disorders and treatments (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), IgG4-Related and Inflammatory Diseases (3 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). The work is most often cited by research in Oncology (326 citations), Hepatology (72 citations), Epidemiology (203 citations), Cancer Research (82 citations) and Surgery (211 citations). Beate Haugk has collaborated with scholars based in United Kingdom, Egypt and Spain. Frequent co-authors include Richard Charnley, Kofi Oppong, John Leeds, Alastair D. Burt, Derek Manas, Manu Nayar, Tim Card, Sushant Kumar Das, C O Record and Guruprasad P. Aithal. Their work appears in journals such as Endoscopy, British Journal of Cancer, Journal of Clinical Oncology, Pancreatology and Scientific Reports.

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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