Marta Poblocka

473 citations
8 papers · 356 · h-index 7

Impact in

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

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • Epigenetics and DNA Methylation 1
    • Histone Deacetylase Inhibitors Research 1
    • Telomeres, Telomerase, and Senescence 3

Marta Poblocka

8 papers receiving 355 citations

Peers

Marta Poblocka
Comparison fields: 5 of 79
  • Aging 24
  • Physiology 153
  • Analytical Chemistry 51
  • Immunology 62
  • Neurology 19
Replace Shihong Li with:
Shihong Li China
Xiaoke Huang China
Wenhan Chen China
Priyanka Gupta United Kingdom
Fuad J. Naser United States
Trajen Head United States
Kerstin Schäfer Germany
Alfonsina Chionna Italy
Takuya Kawata Japan
Biao Yu China
Marta Poblocka relative to Shihong Li China Shihong Li's profile →
Citations per field
00.5×7.3×
Shihong Li · 1×
Citations per year

Countries citing papers authored by Marta Poblocka

Since Specialization
Citations

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

Fields of papers citing papers by Marta Poblocka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2021104
2 201985
3 202248
4 202137
5 201930
6 202129
7 202318
8 20225

About Marta Poblocka

Marta Poblocka is a scholar working on Molecular Biology, Physiology, Hematology, Spectroscopy and Biomedical Engineering, having authored 8 papers that have together received 356 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Biosensors and Analytical Detection (2 papers), Acute Myeloid Leukemia Research (1 paper), Epigenetics and DNA Methylation (1 paper), Histone Deacetylase Inhibitors Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Aging (24 citations), Physiology (153 citations), Analytical Chemistry (51 citations), Immunology (62 citations) and Neurology (19 citations). Marta Poblocka has collaborated with scholars based in United Kingdom, Spain and Saudi Arabia. Frequent co-authors include Salvador Macip, Mohammad Althubiti, Elena Piletska, Sergey A. Piletsky, Ana Sousa Manso, Mark Frigerio, Xiaobo Sheng, Andrew F. Kyle, Victoria M. Smith and Ruth Barber. Their work appears in journals such as Nanoscale Horizons, Aging Cell, Nano Today, Nanoscale Advances and Aging.

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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