Anna Walaszczyk

1.6k citations
31 papers · 833 · h-index 15

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence

Papers in

Anna Walaszczyk

29 papers receiving 822 citations

Peers

Anna Walaszczyk
Comparison fields: 5 of 93
  • Aging 83
  • Physiology 237
  • Immunology 141
  • Cancer Research 93
  • Molecular Biology 415
Replace Yoshitaka Minami with:
Yoshitaka Minami Japan
Tongyu Zhu China
Lauren Baker United Kingdom
Paweł Uruski Poland
Emily Harris United States
J. Tyson McDonald United States
Gemma Olmos Spain
Anna Walaszczyk relative to Yoshitaka Minami Japan Yoshitaka Minami's profile →
Citations per field
00.5×3.8×
Yoshitaka Minami · 1×
Citations per year

Countries citing papers authored by Anna Walaszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Anna Walaszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 2020119
3 201584
4 201368
5 202167
6 200955
7 201734
8 201828
9 201828
10 201125
11
ELITE MALE AND FEMALE SPRINTERS' BODY BUILD, STRIDE LENGTH AND STRIDE FREQUENCY
200621
12 200515
13 201115
14 202115
15 201714
16 201612
17 201811
18 20209
19 20218
20 20187

About Anna Walaszczyk

Anna Walaszczyk is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Cancer Research, having authored 31 papers that have together received 833 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Telomeres, Telomerase, and Senescence (3 papers), NF-κB Signaling Pathways (3 papers), Cell death mechanisms and regulation (3 papers), Mitochondrial Function and Pathology (3 papers), Blood groups and transfusion (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Aging (83 citations), Physiology (237 citations), Immunology (141 citations), Cancer Research (93 citations) and Molecular Biology (415 citations). Anna Walaszczyk has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Emily Dookun, W. Andrew Owens, Ioakim Spyridopoulos, Gavin D. Richardson, Simon Tual‐Chalot, Rachael E. Redgrave, Helen M. Arthur, Piotr Wiland, João F. Passos and Stella Victorelli. Their work appears in journals such as International Journal of Radiation Biology, Aging Cell, Clinical Cancer Research, Cancers and Journal of Translational Medicine.

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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