Mariusz Gajda

2.3k citations
101 papers · 1.8k indexed · h-index 26
Topics
X-ray Spectroscopy and Fluorescence Analysis (10 papers)Atherosclerosis and Cardiovascular Diseases (9 papers)Trace Elements in Health (8 papers)
Journals
SHILAP Revista de lepidopterologíaAnalytical ChemistryInternational Journal of Molecular Sciences

In The Last Decade

Mariusz Gajda

98 papers receiving 1.8k citations

Peers

Mariusz Gajda
Comparison fields: 5 of 133
  • Molecular Biology 454
  • Surgery 423
  • Immunology 288
  • Physiology 286
  • Nutrition and Dietetics 216
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Hazel Lum United States
Yan Zhou China
M. B. Grisham United States
Kyu‐Sang Park South Korea
Yunfeng Zhou China
Madan M. Godbole India
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Danielle Kamato Australia
In Kyu Lee South Korea
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Citations per field
00.5×1.6×
Hazel Lum · 1×
Citations per year

Countries citing papers authored by Mariusz Gajda

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Gajda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Gajda

This figure shows the co-authorship network connecting the top 25 collaborators of Mariusz Gajda. A scholar is included among the top collaborators of Mariusz Gajda 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 Mariusz Gajda. Mariusz Gajda 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 16
2 36
3 7
4 33
5 17
6
Effect of nebivolol treatment on atherosclerotic plaque components in apoE-knockout mice.
6
7 30
8
The effect of doxycycline on atherogenesis in apoE-knockout mice.
17
9 3
10
Conjugated linoleic acid has no effects on atherosclerosis but induces liver steatosis in apoE/LDLR -/- mice fed a fructose-rich diet
1
11
Effects of conjugated linoleic acid (CLA) on development of atherosclerosis in ApoE/LDLr -/- mice
2
12 3
13 2
14 2
15
The evaluation of the effectiveness of multiple dose intradermal hepatitis B re-vaccination in hemodialyzed patients not responding to standard method of immunization.
4
16 47
17 86
18
Monkey brain as a model for Alzheimer's pathology
0
19 42
20 23

About Mariusz Gajda

Mariusz Gajda is a scholar working on Radiation, Nephrology and Gastroenterology, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include X-ray Spectroscopy and Fluorescence Analysis (10 papers), Atherosclerosis and Cardiovascular Diseases (9 papers) and Trace Elements in Health (8 papers). The work is most often cited by research in Molecular Medicine (75 citations), Nutrition and Dietetics (216 citations) and Immunology (288 citations). Mariusz Gajda has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Jacek Jawień, Ryszard Korbut, Rafał Olszanecki, Stefan Chłopicki, T Cichocki, Łukasz Mateuszuk, Dirk Adriaensen, Jan A. Litwin, Wojciech M. Kwiatek and Jean‐Pierre Timmermans. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and International Journal of Molecular Sciences.

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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