Neil Kubica

2.1k citations
12 papers · 1.6k indexed · 1 hit paper · h-index 11
Topics
RNA Research and Splicing (5 papers)Muscle Physiology and Disorders (4 papers)RNA and protein synthesis mechanisms (4 papers)
Partner nations
United States

In The Last Decade

Neil Kubica

12 papers receiving 1.6k citations

Hit Papers

Phosphoproteomic Analysis Identifies Grb10 as an mTORC1 S...20112026201620212011200400600

Peers

Neil Kubica
Comparison fields: 5 of 92
  • Molecular Biology 1.3k
  • Cell Biology 428
  • Physiology 300
  • Rehabilitation 163
  • Genetics 125
Replace Ilia A. Yamboliev with:
Ilia A. Yamboliev United States
Rajaa Hussien United States
Bénédicte Oulès France
Jimena Giudice United States
Holly McDonough United States
Vittoria Pagliarini Italy
V. R. Mukku United States
Anna Chiara Nascimbeni Italy
Conrad C. Weihl United States
Neil Kubica relative to Ilia A. Yamboliev United States Ilia A. Yamboliev's profile →
Citations per field
00.5×12.3×
Ilia A. Yamboliev · 1×
Citations per year

Countries citing papers authored by Neil Kubica

Since Specialization
Citations

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

Fields of papers citing papers by Neil Kubica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Kubica

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 33
2 194
3
Phosphoproteomic Analysis Identifies Grb10 as an mTORC1 Substrate That Negatively Regulates Insulin Signalingbreakdown →
672
4 15
5 28
6 82
7 14
8 214
9 165
10 23
11 1
12 198

About Neil Kubica

Neil Kubica is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Muscle Physiology and Disorders (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Cell Biology (428 citations), Rehabilitation (163 citations) and Molecular Biology (1.3k citations). Neil Kubica has collaborated with scholars based in United States. Frequent co-authors include Leonard S. Jefferson, Scot R. Kimball, Peter A. Farrell, Douglas R. Bolster, Yonghao Yu, Lewis C. Cantley, John Blenis, Xiaoju Max, George Poulogiannis and Gregory R. Hoffman. Their work appears in journals such as Science, Cell and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026