Martyna Pakuła

427 citations
15 papers · 311 · h-index 11

Impact in

Papers in

Martyna Pakuła

15 papers receiving 309 citations

Peers

Martyna Pakuła
Comparison fields: 5 of 71
  • Reproductive Medicine 41
  • Cancer Research 50
  • Oncology 90
  • Aging 5
  • Biotechnology 23
Replace Michela Romano with:
Michela Romano Italy
Tao Xiang United States
Shunji Kamazawa Japan
Lucas Fass United States
Claudia Peracchio Italy
Jiong Yang China
Shruthi Sriramkumar United States
Geoffrey Grandjean United States
Untack Cho South Korea
Ebru Aydin Sweden
Martyna Pakuła relative to Michela Romano Italy Michela Romano's profile →
Citations per field
00.5×2×2.9×
Michela Romano · 1×
Citations per year

Countries citing papers authored by Martyna Pakuła

Since Specialization
Citations

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

Fields of papers citing papers by Martyna Pakuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018124
2 201727
3 202124
4 202021
5 201821
6 201917
7 201715
8 201914
9 201914
10 202113
11 202011
12 20224
13 20173
14
[Clinical criteria and evaluation of the pathology and progress of lympho-nodular toxoplasmosis].
19902
15
[Sarcoidosis in coexistence with Toxoplasma gondii invasion].
19931

About Martyna Pakuła

Martyna Pakuła is a scholar working on Physiology, Pathology and Forensic Medicine, Biotechnology, Surgery and Molecular Biology, having authored 15 papers that have together received 311 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Cancer Research and Treatments (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Genetic factors in colorectal cancer (2 papers), Intraperitoneal and Appendiceal Malignancies (1 paper), Cancer Mechanisms and Therapy (1 paper), Endometriosis Research and Treatment (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Reproductive Medicine (41 citations), Cancer Research (50 citations), Oncology (90 citations), Aging (5 citations) and Biotechnology (23 citations). Martyna Pakuła has collaborated with scholars based in Poland and Kazakhstan. Frequent co-authors include Andrzej Tykarski, Paweł Uruski, Justyna Mikuła‐Pietrasik, Krzysztof Książek, Arkadiusz Niklas, Beata Krasińska, Dariusz Szpurek, Rafał Moszyński, Stefan Sajdak and Aldona Woźniak. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Cellular and Molecular Life Sciences, Cellular & Molecular Biology Letters and Journal of Ovarian 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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