M Gacko

74 papers receiving 806 citations

Peers

M Gacko
Comparison fields: 5 of 114
  • Internal Medicine 89
  • Transplantation 35
  • Nephrology 71
  • Cancer Research 142
  • Pulmonary and Respiratory Medicine 233
Replace Hiroshi Takahashi with:
Hiroshi Takahashi Japan
Sílvia B. Campos United States
Wen-Chao Song United States
Danuta Owczarek Poland
Rakesh Kumar Vasishta India
Ling Zhou China
JW ten Cate Netherlands
Junhui Li China
Yoshiki Morita Japan
Peter H. Lapchak United States
M Gacko relative to Hiroshi Takahashi Japan Hiroshi Takahashi's profile →
Citations per field
00.5×8.9×
Hiroshi Takahashi · 1×
Citations per year

Countries citing papers authored by M Gacko

Since Specialization
Citations

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

Fields of papers citing papers by M Gacko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200757
2 200956
3
Matrix metalloproteinases in the vein wall.
200452
4 200851
5 200842
6 200838
7 199835
8 200729
9 200729
10
Activity and localization of cathepsin B, D and G in aortic aneurysm.
199828
11 201025
12 200822
13 200422
14 200921
15 200918
16
Distribution, activity and concentration of cathepsin B and cystatin C in the wall of aortic aneurysm.
199918
17
Biological and diagnostic role of cathepsin D.
199718
18 201217
19 199517
20 200516

About M Gacko

M Gacko is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Surgery and Rheumatology, having authored 77 papers that have together received 831 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (21 papers), Aortic aneurysm repair treatments (20 papers), Connective tissue disorders research (9 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Bone and Dental Protein Studies (8 papers), Diagnosis and Treatment of Venous Diseases (6 papers), Renal and Vascular Pathologies (5 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Internal Medicine (89 citations), Transplantation (35 citations), Nephrology (71 citations), Cancer Research (142 citations) and Pulmonary and Respiratory Medicine (233 citations). M Gacko has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Alicja Karwowska, Alina Minarowska, Łukasz Minarowski, Krzysztof Sobolewski, L Chyczewski, Małgorzata Wolańska, Barbara Mroczko, Andrzej Siemiątkowski, Jolanta Małyszko and E Chyczewska. Their work appears in journals such as Biological Trace Element Research, Annals of Vascular Surgery, Advances in Clinical and Experimental Medicine, Cellular & Molecular Biology Letters and Journal of Surgical 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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