Małgorzata Mossakowska

25.3k citations
112 papers · 2.2k indexed · 1 hit paper · h-index 26

Małgorzata Mossakowska

109 papers receiving 2.2k citations

Hit Papers

Interleukin-6 and C-reactive protein, successful aging, a...20162026201920222016100200300

Peers

Małgorzata Mossakowska
Comparison fields: 5 of 141
  • Molecular Biology 561
  • Physiology 529
  • Cardiology and Cardiovascular Medicine 409
  • Epidemiology 336
  • Cell Biology 326
Replace Nobuyoshi Hirose with:
Nobuyoshi Hirose Japan
Alex P. Reiner United States
Kurt Lohman United States
Joris Deelen Netherlands
Yukiko Abe Japan
Juulia Jylhävä Finland
Toni I. Pollin United States
Maria Giulia Bacalini Italy
Andrew Wong United Kingdom
Manel Puig‐Domingo Spain
Małgorzata Mossakowska relative to Nobuyoshi Hirose Japan Nobuyoshi Hirose's profile →
Citations per field
00.5×1.5×1.9×
Nobuyoshi Hirose · 1×
Citations per year

Countries citing papers authored by Małgorzata Mossakowska

Since Specialization
Citations

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

Fields of papers citing papers by Małgorzata Mossakowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Małgorzata Mossakowska

This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Mossakowska. A scholar is included among the top collaborators of Małgorzata Mossakowska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Małgorzata Mossakowska. Małgorzata Mossakowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 2
5 2
6 1
7 3
8 0
9 19
10 28
11 13
12
Health status correlates of malnutrition in the polish elderly population - Results of the Polsenior Study.
33
13 35
14 8
15 26
16 52
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Basic Indices Concerning the Implementation of Survey
1
18
The Prevalence of Dementia in Warsaw Centenarians: a Population – Based Study**
3
19
The nutritional habits among centenarians living in Warsaw.
4
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CHARACTERiSTiCS of NuTRiTioN AMoNG CENTENARiANS LiViNG iN WARSAW
3

About Małgorzata Mossakowska

Małgorzata Mossakowska is a scholar working on Aging, Geriatrics and Gerontology and Neuropsychology and Physiological Psychology, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (18 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Frailty in Older Adults (10 papers). The work is most often cited by research in Geriatrics and Gerontology (194 citations), Aging (64 citations) and Neuropsychology and Physiological Psychology (36 citations). Małgorzata Mossakowska has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Jerzy Chudek, Hanna Strzelecka-Gołaszewska, Monika Puzianowska‐Kuźnicka, Katarzyna Wieczorowska–Tobis, Anna Skalska, Joanna Moraczewska, Tomasz Grodzicki, Przemysław Ślusarczyk, Andrzej Więcek and Sofia Khaitlina. Their work appears in journals such as PLoS ONE, Biochemical Journal and FEBS Letters.

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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