Anna Berand

491 citations
21 papers · 394 · h-index 9

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Cancer Genomics and Diagnostics
    • Vascular Tumors and Angiosarcomas

Papers in

Anna Berand

20 papers receiving 384 citations

Peers

Anna Berand
Comparison fields: 5 of 48
  • Cancer Research 112
  • Oncology 151
  • Pharmacology 49
  • Molecular Biology 197
  • Pulmonary and Respiratory Medicine 65
Replace Nobuyasu Hayashi with:
Nobuyasu Hayashi Japan
Roy Ehrnström Sweden
Johanna Mrena Finland
Atsushi Maeno Japan
Ken Kojo Japan
Taylor Francis United States
Kaimi Li China
Xiaojing Jia China
Anne Myrthue United States
Debashish Sahay United States
Anna Berand relative to Nobuyasu Hayashi Japan Nobuyasu Hayashi's profile →
Citations per field
00.5×1.5×
Nobuyasu Hayashi · 1×
Citations per year

Countries citing papers authored by Anna Berand

Since Specialization
Citations

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

Fields of papers citing papers by Anna Berand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003124
2 200486
3 200742
4 200939
5 201126
6
C-reactive Protein in Patients with Metastatic Clear Cell Renal Carcinoma: An Important Biomarker for Tumor-associated Inflammation.
200721
7 201012
8 201011
9 20068
10 20045
11 20094
12 20073
13 20052
14 20102
15 20032
16 20102
17 20102
18 20071
19 20061
20 20081

About Anna Berand

Anna Berand is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Pharmacology, having authored 21 papers that have together received 394 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (6 papers), Renal cell carcinoma treatment (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Inflammatory mediators and NSAID effects (4 papers), Prostate Cancer Treatment and Research (4 papers), Ferroptosis and cancer prognosis (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (112 citations), Oncology (151 citations), Pharmacology (49 citations), Molecular Biology (197 citations) and Pulmonary and Respiratory Medicine (65 citations). Anna Berand has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Albrecht Reichle, Reinhard Andreesen, Thomas Vogt, K. Bross, Frauke Bataille, Michael Landthaler, Peter J. Wild, Christian Hafner, Karl‐Walter Jauch and Stefan W. Krause. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer, World Journal of Urology and Melanoma Research.

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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