Daniela Hirsch

2.1k citations
57 papers · 1.3k · h-index 19

Impact in

    • Antioxidant Activity and Oxidative Stress
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies

Papers in

Daniela Hirsch

55 papers receiving 1.3k citations

Peers

Daniela Hirsch
Comparison fields: 5 of 113
  • Biochemistry 129
  • Oncology 513
  • Cancer Research 199
  • Genetics 108
  • Immunology 208
Replace Sylvie Polak‐Charcon with:
Sylvie Polak‐Charcon Israel
Ranjini K. Sundaram United States
Soheil Naderi Norway
Tatyana Vlaykova Bulgaria
Kwan‐Hyuck Baek South Korea
Marie‐Lise Jourdan France
Wojciech Jóźwicki Poland
Parthaprasad Chattopadhyay India
Yajuan Liu China
Dong Cheng China
Daniela Hirsch relative to Sylvie Polak‐Charcon Israel Sylvie Polak‐Charcon's profile →
Citations per field
00.5×2.7×
Sylvie Polak‐Charcon · 1×
Citations per year

Countries citing papers authored by Daniela Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018195
2 2013136
3 2004126
4 201276
5 201773
6
Oxidative stress in chronic renal failure as a cardiovascular risk factor.
200258
7 201956
8 200554
9 199140
10 201837
11 201929
12 201228
13 201224
14 200222
15 200521
16 201820
17 201819
18 200319
19 201918
20 200618

About Daniela Hirsch

Daniela Hirsch is a scholar working on Oncology, Pathology and Forensic Medicine, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (14 papers), Cancer Genomics and Diagnostics (10 papers), Colorectal Cancer Treatments and Studies (6 papers), Cancer Cells and Metastasis (5 papers), Antioxidant Activity and Oxidative Stress (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers), Mesenchymal stem cell research (4 papers) and Gastric Cancer Management and Outcomes (4 papers). The work is most often cited by research in Biochemistry (129 citations), Oncology (513 citations), Cancer Research (199 citations), Genetics (108 citations) and Immunology (208 citations). Daniela Hirsch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Timo Gaiser, Thomas Ried, Ingrid Wiswedel, Jordi Camps, Felix G. Hermann, Sabine Geiger, Yue Hu, Siegfried Kropf, T Schewe and E. Pfister. Their work appears in journals such as Cancers, International Journal of Cancer, Scientific Reports, Carcinogenesis and Oncotarget.

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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