Michael E. Rusiniak

1.8k citations
24 papers · 1.3k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • DNA Repair Mechanisms 3
    • Renal and related cancers 3
    • melanin and skin pigmentation 6

Michael E. Rusiniak

22 papers receiving 1.3k citations

Peers

Michael E. Rusiniak
Comparison fields: 5 of 88
  • Cell Biology 514
  • Immunology and Allergy 76
  • Nutrition and Dietetics 166
  • Molecular Biology 718
  • Aging 17
Replace Pascal Gélébart with:
Pascal Gélébart Canada
Francesco A. Manzoli Italy
Nancy L. Johnson United States
Régis Bobe France
Claes Båvik United States
Nader Chalhoub United States
Hans‐Christian Aasheim Norway
Jonathan M. Shillingford United States
Gábor Sirokmány Hungary
Meryem Bektas United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Rusiniak

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Rusiniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Rusiniak. 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 Michael E. Rusiniak. The network helps show where Michael E. Rusiniak may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998175
2 1998172
3 2004164
4 1997122
5 201079
6 200368
7 200568
8 200266
9
Identification of B94 (TNFAIP2) as a potential retinoic acid target gene in acute promyelocytic leukemia.
200061
10 201442
11 201740
12 200638
13 201335
14 200034
15 202232
16 201132
17 199531
18 201927
19 199617
20 202213

About Michael E. Rusiniak

Michael E. Rusiniak is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Dermatology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include melanin and skin pigmentation (6 papers), Glycosylation and Glycoproteins Research (4 papers), DNA Repair Mechanisms (3 papers), Renal and related cancers (3 papers), Skin Protection and Aging (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Galectins and Cancer Biology (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Cell Biology (514 citations), Immunology and Allergy (76 citations), Nutrition and Dietetics (166 citations), Molecular Biology (718 citations) and Aging (17 citations). Michael E. Rusiniak has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Richard T. Swank, Edward K. Novak, Michael P. McGarry, Lijun Feng, Sreenivasulu Chintala, Rashi Gautam, James L. Slack, Wei Li, Steven C. Pruitt and Dimiter Kunnev. Their work appears in journals such as Oncogene, Mammalian Genome, Biochemical and Biophysical Research Communications, Blood and Genome 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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