Michael E. Rusiniak

1.8k citations
24 papers · 1.2k · h-index 18

Impact in

Papers in

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

Michael E. Rusiniak

22 papers receiving 1.2k citations

Peers

Michael E. Rusiniak
Comparison fields: 5 of 90
  • Cell Biology 509
  • Immunology and Allergy 79
  • Nutrition and Dietetics 169
  • Molecular Biology 716
  • Aging 16
Replace Junji Kishino with:
Junji Kishino Japan
Kwang S. Suh United States
Pascal Gélébart Canada
Francesco A. Manzoli Italy
Hans‐Christian Aasheim Norway
Manjari Dimri United States
Nancy L. Johnson United States
Jonathan M. Shillingford United States
Gábor Sirokmány Hungary
Yuka Nagata Japan
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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 1998168
2 1998156
3 2004149
4 1997115
5 201076
6 200364
7 200262
8 200562
9
Identification of B94 (TNFAIP2) as a potential retinoic acid target gene in acute promyelocytic leukemia.
200060
10 201739
11 201439
12 201335
13 200634
14 200033
15 199531
16 201130
17 202227
18 201925
19 199616
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 1.2k indexed citations. Recurring topics across this work include melanin and skin pigmentation (6 papers), Glycosylation and Glycoproteins Research (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Renal and related cancers (3 papers), Skin Protection and Aging (3 papers), DNA Repair Mechanisms (3 papers), Connective tissue disorders research (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cell Biology (509 citations), Immunology and Allergy (79 citations), Nutrition and Dietetics (169 citations), Molecular Biology (716 citations) and Aging (16 citations). Michael E. Rusiniak has collaborated with scholars based in United States, Japan and Pakistan. Frequent co-authors include Richard T. Swank, Edward K. Novak, Michael P. McGarry, Lijun Feng, James L. Slack, Rashi Gautam, Sreenivasulu Chintala, Dimiter Kunnev, Steven C. Pruitt and Wei Li. Their work appears in journals such as Oncogene, Glycobiology, Nature Genetics, American Journal of Physiology-Lung Cellular and Molecular Physiology and Nature Communications.

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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