Anna Halama

45 papers receiving 1.3k citations

Peers

Anna Halama
Comparison fields: 5 of 99
  • Cancer Research 162
  • Biochemistry 53
  • Molecular Biology 532
  • Endocrinology, Diabetes and Metabolism 136
  • Reproductive Medicine 75
Replace Chris I. Cheeseman with:
Chris I. Cheeseman Canada
Akira Imaizumi Japan
Gary J. Litherland United Kingdom
Fernando Delgado‐López Chile
Kenichi Watanabe Japan
Shehla Pervin United States
Sibali Bandyopadhyay United States
IVAR TRAUTSCHOLD Germany
Joanna Bandorowicz‐Pikuła Poland
Yan Tang China
Anna Halama relative to Chris I. Cheeseman Canada Chris I. Cheeseman's profile →
Citations per field
00.5×2×4×6×8.8×
Chris I. Cheeseman · 1×
Citations per year

Countries citing papers authored by Anna Halama

Since Specialization
Citations

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

Fields of papers citing papers by Anna Halama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008102
2 202095
3 202274
4 201471
5 201564
6 202061
7 201859
8 201258
9 201357
10 202256
11 201449
12 201544
13 200938
14 201937
15 201636
16 201835
17 202434
18 201533
19 201733
20 201430

About Anna Halama

Anna Halama is a scholar working on Molecular Biology, Cancer Research, Endocrinology, Diabetes and Metabolism, Genetics and Equine, having authored 45 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (12 papers), Cancer, Hypoxia, and Metabolism (5 papers), Genetic Associations and Epidemiology (4 papers), Bioinformatics and Genomic Networks (3 papers), Diabetes Management and Research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Date Palm Research Studies (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (162 citations), Biochemistry (53 citations), Molecular Biology (532 citations), Endocrinology, Diabetes and Metabolism (136 citations) and Reproductive Medicine (75 citations). Anna Halama has collaborated with scholars based in Qatar, United States and Germany. Frequent co-authors include Karsten Suhre, Jerzy Adamski, Gabriele Möller, Verena Ruß, Ernst Wagner, Manfred Ogris, Michał Kuliński, Martin Hrabě de Angelis, Stephen Lawrence Atkin and Aditya Mukund Bhagwat. Their work appears in journals such as Scientific Reports, Nature Communications, Journal of Translational Medicine, Archives of Biochemistry and Biophysics and Journal of Functional Foods.

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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