George Melnykovych

1.6k citations
87 papers · 1.4k indexed · h-index 24
Topics
Alkaline Phosphatase Research Studies (20 papers)Cholesterol and Lipid Metabolism (14 papers)Estrogen and related hormone effects (9 papers)
Partner nations
United States

In The Last Decade

George Melnykovych

85 papers receiving 1.3k citations

Peers

George Melnykovych
Comparison fields: 5 of 101
  • Molecular Biology 959
  • Surgery 263
  • Endocrinology, Diabetes and Metabolism 222
  • Cancer Research 167
  • Oncology 145
Replace G. Gianfranceschi with:
G. Gianfranceschi Italy
My‐Hanh Lam United States
R C Moon United States
Kôzô Hayashi Japan
Bruce J. Auerbach United States
Harry W. Chen United States
G. Jayarama Bhat United States
Saori Takahashi Japan
Tsu‐Chung Chang Taiwan
Sankar Mohan Canada
George Melnykovych relative to G. Gianfranceschi Italy G. Gianfranceschi's profile →
Citations per field
00.5×1.5×
G. Gianfranceschi · 1×
Citations per year

Countries citing papers authored by George Melnykovych

Since Specialization
Citations

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

Fields of papers citing papers by George Melnykovych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Melnykovych

This figure shows the co-authorship network connecting the top 25 collaborators of George Melnykovych. A scholar is included among the top collaborators of George Melnykovych based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George Melnykovych. George Melnykovych is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 65
2 8
3 50
4 74
5 43
6 2
7
Alkyllysophospholipid influenced melanoma cell morphology is associated with decreased attachment to basement membrane.
1
8 5
9 39
10 41
11 5
12 12
13 4
14 10
15 21
16 40
17 5
18 18
19 24
20 27

About George Melnykovych

George Melnykovych is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Molecular Biology, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (20 papers), Cholesterol and Lipid Metabolism (14 papers) and Estrogen and related hormone effects (9 papers). The work is most often cited by research in Molecular Biology (959 citations), Endocrinology, Diabetes and Metabolism (222 citations) and Biochemistry (76 citations). George Melnykovych has collaborated with scholars based in United States. Frequent co-authors include Paul Voziyan, Jeffrey S. Haug, Neelam Bansal, Webster K. Cavenee, Dean Johnston, Eugenia M. Yazlovitskaya, Travis E. Solomon, Shannon C. Miller, Joshua Cutts and Esmond E. Snell. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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