Frank Mercurio

15.2k citations
53 papers · 12.6k indexed · 7 hit papers · h-index 36
Topics
NF-κB Signaling Pathways (30 papers)Immune Response and Inflammation (14 papers)Ubiquitin and proteasome pathways (14 papers)

In The Last Decade

Frank Mercurio

53 papers receiving 12.4k citations

Hit Papers

IKK-1 and IKK-2: Cytokine-Activated IκB Kinases Essential...19952026200520151997200120121999199550010001.5k

Peers

Frank Mercurio
Comparison fields: 5 of 129
  • Molecular Biology 7.8k
  • Cancer Research 5.4k
  • Immunology 4.5k
  • Oncology 3.3k
  • Epidemiology 782
Replace Claus Scheidereit with:
Claus Scheidereit Germany
Guido Franzoso United States
Shigeki Miyamoto United States
Marty W. Mayo United States
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Amer A. Beg United States
Yinon Ben‐Neriah Israel
Paul J. Chiao United States
Heike L. Pahl Germany
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Frank Mercurio relative to Claus Scheidereit Germany Claus Scheidereit's profile →
Citations per field
00.5×1.5×1.9×
Claus Scheidereit · 1×
Citations per year

Countries citing papers authored by Frank Mercurio

Since Specialization
Citations

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

Fields of papers citing papers by Frank Mercurio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Mercurio

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Mercurio. A scholar is included among the top collaborators of Frank Mercurio 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 Frank Mercurio. Frank Mercurio 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 9
2 37
3 235
4 11
5 32
6 149
7 102
8 6
9 13
10 50
11 19
12 33
13 111
14 235
15
Identification of the receptor component of the IκBα–ubiquitin ligasebreakdown →
557
16 172
17 12
18
Mapping of the Inducible IκB Phosphorylation Sites That Signal Its Ubiquitination and Degradation†breakdown →
651
19 310
20 91

About Frank Mercurio

Frank Mercurio is a scholar working on Cancer Research, Immunology and Hematology, having authored 53 papers that have together received 12.6k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (30 papers), Immune Response and Inflammation (14 papers) and Ubiquitin and proteasome pathways (14 papers). The work is most often cited by research in Cancer Research (5.4k citations), Immunology (4.5k citations) and Oncology (3.3k citations). Frank Mercurio has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Michael Karin, Joseph A. DiDonato, Anthony M. Manning, Kathleen M. Sakamoto, Raymond J. Deshaies, Craig M. Crews, Akiko Kumagai, Matthias Mann, Brydon L. Bennett and David B. Young. Their work appears in journals such as Nature, Science and 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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