Michael J. Emanuele

3.7k citations
60 papers · 2.7k indexed · 1 hit paper · h-index 25
Topics
Ubiquitin and proteasome pathways (34 papers)Microtubule and mitosis dynamics (24 papers)Cancer-related Molecular Pathways (10 papers)
Partner nations
United StatesIsraelChina

In The Last Decade

Michael J. Emanuele

51 papers receiving 2.7k citations

Hit Papers

A Genome-wide RNAi Screen Identifies Multiple Synthetic L...20092026201420202009250500750

Peers

Michael J. Emanuele
Comparison fields: 5 of 105
  • Molecular Biology 2.2k
  • Oncology 712
  • Cell Biology 679
  • Cancer Research 338
  • Pulmonary and Respiratory Medicine 267
Replace Libor Macůrek with:
Libor Macůrek Czechia
Rohit Bose United States
Eusebio Manchado United States
Apolinar Maya‐Mendoza Denmark
Zhongsheng You United States
Thomas Kitzing Germany
Rob M.F. Wolthuis Netherlands
Barish Ozdamar Canada
Payman Samavarchi‐Tehrani Canada
Grzegorz Nalepa United States
Michael J. Emanuele relative to Libor Macůrek Czechia Libor Macůrek's profile →
Citations per field
00.5×2.6×
Libor Macůrek · 1×
Citations per year

Countries citing papers authored by Michael J. Emanuele

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Emanuele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Emanuele

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Emanuele. A scholar is included among the top collaborators of Michael J. Emanuele 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 Michael J. Emanuele. Michael J. Emanuele 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 0
2 0
3 1
4 14
5 3
6 13
7 9
8 9
9 13
10 0
11 84
12 71
13 24
14 59
15 28
16 30
17 4
18 2
19 60
20 44

About Michael J. Emanuele

Michael J. Emanuele is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 60 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (34 papers), Microtubule and mitosis dynamics (24 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Cell Biology (679 citations), Molecular Biology (2.2k citations) and Oncology (712 citations). Michael J. Emanuele has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Stephen J. Elledge, Chad J. Creighton, Thomas Bonacci, Ji Luo, Kwok‐Kin Wong, Thomas F. Westbrook, Danan Li, Michael R. Schlabach, P. Todd Stukenberg and Andrew E. H. Elia. 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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