Michael C. Naski

3.4k citations
29 papers · 2.7k · h-index 22

Impact in

  • Genetics top 2%
    • Connective tissue disorders research
    • Fibroblast Growth Factor Research
    • Epigenetics and DNA Methylation
    • Bone Metabolism and Diseases
    • Wnt/β-catenin signaling in development and cancer
    • Developmental Biology and Gene Regulation

Papers in

    • Fibroblast Growth Factor Research 14
    • Wnt/β-catenin signaling in development and cancer 6
    • Kruppel-like factors research 4
    • Hedgehog Signaling Pathway Studies 4
    • Cancer-related gene regulation 4
    • Connective tissue disorders research 5
    • Genetic Syndromes and Imprinting 3

Michael C. Naski

29 papers receiving 2.7k citations

Peers

Michael C. Naski
Comparison fields: 5 of 103
  • Genetics 841
  • Molecular Biology 1.8k
  • Hematology 282
  • Rheumatology 360
  • Cancer Research 285
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Michael C. Naski

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Naski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998457
2 1996414
3 2002352
4 1998347
5 2005139
6 1990129
7 200288
8 199384
9 200683
10 200965
11 200464
12 200061
13 199158
14 199158
15 201241
16 201140
17 201139
18 201138
19 201230
20 199029

About Michael C. Naski

Michael C. Naski is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Hematology, having authored 29 papers that have together received 2.7k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (14 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Connective tissue disorders research (5 papers), Blood properties and coagulation (5 papers), Kruppel-like factors research (4 papers), Hedgehog Signaling Pathway Studies (4 papers), Cancer-related gene regulation (4 papers) and Genetic Syndromes and Imprinting (3 papers). The work is most often cited by research in Genetics (841 citations), Molecular Biology (1.8k citations), Hematology (282 citations), Rheumatology (360 citations) and Cancer Research (285 citations). Michael C. Naski has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include David M. Ornitz, Martina I. Reinhold, Jian Xu, Qing Wang, Jules A. Shafer, Jennifer S. Colvin, J. Douglas Coffin, Eleonora Minina, Andrea Vortkamp and Michael Weinstein. Their work appears in journals such as Journal of Biological Chemistry, Development, Thrombosis Research, Biochemical and Biophysical Research Communications and Developmental Cell.

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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