A Mackiewicz

1.3k citations
21 papers · 1.2k · h-index 13

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Protein purification and stability 6
    • Galectins and Cancer Biology 4
    • T-cell and B-cell Immunology 2

A Mackiewicz

21 papers receiving 1.2k citations

Peers

A Mackiewicz
Comparison fields: 5 of 95
  • Biological Psychiatry 219
  • Behavioral Neuroscience 164
  • Immunology 272
  • Small Animals 59
  • Hepatology 45
Replace Steven E. Calvano with:
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H. Dietrich Austria
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Citations per field
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Citations per year

Countries citing papers authored by A Mackiewicz

Since Specialization
Citations

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

Fields of papers citing papers by A Mackiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995276
2 1991217
3
Acute phase proteins as disease markers.
1987188
4 199086
5 198779
6 198879
7 198874
8 198949
9
Effect of cytokines on glycosylation of acute phase proteins in human hepatoma cell lines.
198936
10 200128
11 199227
12 199021
13 199013
14 199210
15
Studies on microheterogeneity of acute-phase proteins in rheumatoid arthritis by using crossed affinoimmuno-electrophoresis with free concanavalin A.
19869
16 19955
17 20014
18
Minor microheterogeneity of alpha 1-acid glycoprotein in rheumatoid arthritis.
19894
19 19953
20
Mechanisms regulating glycosylation of human acute phase proteins.
19912

About A Mackiewicz

A Mackiewicz is a scholar working on Molecular Biology, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Protein purification and stability (6 papers), Galectins and Cancer Biology (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Animal health and immunology (2 papers), Diabetes and associated disorders (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biological Psychiatry (219 citations), Behavioral Neuroscience (164 citations), Immunology (272 citations), Small Animals (59 citations) and Hepatology (45 citations). A Mackiewicz has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Irving Kushner, Mahrukh K. Ganapathi, Debra A. Schultz, Magdalena Sobieska, A. Służewska, Janusz Rybakowski, David Samols, Jasminder Weinstein, James H. Reese and Michael F. Kelley. Their work appears in journals such as Advances in experimental medicine and biology, The Journal of Immunology, Biochemical Journal, Annals of the New York Academy of Sciences and Oncogene.

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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