Mona S. Spector

4.4k citations
15 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Lipid metabolism and biosynthesis (4 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)

In The Last Decade

Mona S. Spector

15 papers receiving 1.6k citations

Hit Papers

Identification and Validation of Oncogenes in Liver Cance...20062026201220192006250500750

Peers

Mona S. Spector
Comparison fields: 5 of 80
  • Molecular Biology 1.2k
  • Cell Biology 533
  • Oncology 273
  • Cancer Research 260
  • Surgery 143
Replace Dominica Calvo with:
Dominica Calvo United States
Konstantin Galaktionov United States
A. Pieter J. van den Heuvel United States
Oona Delpuech United Kingdom
Ganna Panasyuk Ukraine
Scott T. Eblen United States
Midori Shimada Japan
Dezheng Dong United States
Luke Gaughan United Kingdom
William R. Brinkley United States
Mona S. Spector relative to Dominica Calvo United States Dominica Calvo's profile →
Citations per field
00.5×3.9×
Dominica Calvo · 1×
Citations per year

Countries citing papers authored by Mona S. Spector

Since Specialization
Citations

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

Fields of papers citing papers by Mona S. Spector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona S. Spector. 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 Mona S. Spector. The network helps show where Mona S. Spector may publish in the future.

Co-authorship network of co-authors of Mona S. Spector

This figure shows the co-authorship network connecting the top 25 collaborators of Mona S. Spector. A scholar is included among the top collaborators of Mona S. Spector 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 Mona S. Spector. Mona S. Spector is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 24
3 85
4
Identification and Validation of Oncogenes in Liver Cancer Using an Integrative Oncogenomic Approachbreakdown →
861
5 2
6 22
7 51
8 25
9 258
10 113
11 19
12 55
13 77
14 5
15 62

About Mona S. Spector

Mona S. Spector is a scholar working on Aging, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipid metabolism and biosynthesis (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (78 citations), Cell Biology (533 citations) and Molecular Biology (1.2k citations). Mona S. Spector has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Richard B. Weinberg, Scott W. Lowe, Robert Lucito, Wen Xue, Lars Zender, Daniel J. Hoeppner, Gregory J. Hannon, Carlos Cordon‐Cardo, Peer Flemming and Scott Powers. Their work appears in journals such as Nature, Cell 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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