Michael Haas

4.7k citations
95 papers · 3.4k indexed · h-index 30

Impact in

  • Oncology top 2%
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 49
    • Colorectal Cancer Treatments and Studies 21
    • Cancer Genomics and Diagnostics 20

Michael Haas

93 papers receiving 3.3k citations

Peers

Michael Haas
Comparison fields: 5 of 122
  • Oncology 1.3k
  • Cancer Research 531
  • Molecular Biology 1.5k
  • Hepatology 160
  • Pulmonary and Respiratory Medicine 617
Replace Keiichi Ito with:
Keiichi Ito Japan
Akira Saito Japan
József Tóvári Hungary
Balázs Döme Hungary
Amir Onn Israel
Xianxian Zheng United States
François Paris France
James N. Topper United States
Daniela S. Krause United States
Michael Haas relative to Keiichi Ito Japan Keiichi Ito's profile →
Citations per field
00.5×1.5×2.3×
Keiichi Ito · 1×
Citations per year

Countries citing papers authored by Michael Haas

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20245
3 20231
4 20228
5 202052
6 20171
7 201714
8 201625
9 201516
10 20142
11 20143
12 201429
13 20131
14 201383
15 201349
16 201331
17 20121
18 201135
19 201059
20 201045

About Michael Haas

Michael Haas is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Hepatology and Gastroenterology, having authored 95 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (49 papers), Colorectal Cancer Treatments and Studies (21 papers), Cancer Genomics and Diagnostics (20 papers), Neuroendocrine Tumor Research Advances (16 papers), Pancreatitis Pathology and Treatment (9 papers), Gastric Cancer Management and Outcomes (8 papers), Renal cell carcinoma treatment (7 papers) and Ion Transport and Channel Regulation (6 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (531 citations), Molecular Biology (1.5k citations), Hepatology (160 citations) and Pulmonary and Respiratory Medicine (617 citations). Michael Haas has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Zijian Xie, Volker Heinemann, Jiang Tian, Stefan Boeck, Amir Askari, Ting Cai, Haojie Wang, Haojie Wang, Dominik Paul Modest and Stefan Holdenrieder. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Annals of Oncology, Anti-Cancer Drugs, British Journal of Cancer and Journal of Clinical Oncology.

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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