Margaret Markiewicz

17 papers receiving 654 citations

Peers

Margaret Markiewicz
Comparison fields: 5 of 86
  • Pathology and Forensic Medicine 202
  • Dermatology 96
  • Immunology 123
  • Molecular Biology 347
  • Cell Biology 81
Replace Barbora Šumová with:
Barbora Šumová Czechia
Lukasz Stawski United States
Alexandru‐Emil Matei Germany
Denisa S. Melichian United States
Alina Soare Germany
Susan Abramson United States
Daniel Shegogue United States
Óscar Busnadiego Spain
Tatjana Mallano Germany
Olga Stasikowska‐Kanicka Poland
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Citations per field
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Citations per year

Countries citing papers authored by Margaret Markiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Markiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003128
2 201394
3 200687
4 200860
5 200358
6 201240
7 200739
8 201335
9 200834
10 201023
11 201612
12
Inhibition of the platelet-dependent fibrin retraction by the fibrin stabilizing factor (FSF, factor 13).
197312
13
The 72-kilodalton IE-1 protein of human cytomegalovirus (HCMV) is a potent inducer of connective tissue growth factor (CTGF) in human dermal fibroblasts.
200412
14 201411
15 202011
16 202010
17
ASSOCIATIONS BETWEEN ACCELERATED ATHEROSCLEROSIS, OXIDIZED LDL IMMUNE COMPLEXES, AND IN VITRO ENDOTHELIAL DYSFUNCTION IN SYSTEMIC LUPUS ERYTHEMATOSUS.
20205
18 20250

About Margaret Markiewicz

Margaret Markiewicz is a scholar working on Molecular Biology, Rheumatology, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 671 indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Systemic Lupus Erythematosus Research (4 papers), Connective tissue disorders research (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Parathyroid Disorders and Treatments (2 papers), Skin Protection and Aging (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (202 citations), Dermatology (96 citations), Immunology (123 citations), Molecular Biology (347 citations) and Cell Biology (81 citations). Margaret Markiewicz has collaborated with scholars based in United States, Russia and Poland. Frequent co-authors include Maria Trojanowska, Dennis K. Watson, A Ludwicka, Masahide Kubo, Bagrat Kapanadze, Sashidhar Nakerakanti, Yoshihide Asano, Masaomi Yamasaki, Edwin A. Smith and Richard M. Silver. Their work appears in journals such as Journal of Biological Chemistry, American Journal Of Pathology, Lupus Science & Medicine, Molecular and Cellular Biology and Seminars in Thrombosis and Hemostasis.

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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