Erica S. Johnson

7.2k citations
33 papers · 5.9k indexed · 4 hit papers · h-index 26
Topics
Ubiquitin and proteasome pathways (22 papers)Fungal and yeast genetics research (10 papers)Glycosylation and Glycoproteins Research (5 papers)

In The Last Decade

Erica S. Johnson

32 papers receiving 5.9k citations

Hit Papers

Protein Modification by SUMO199520262005201520041995200119974008001.2k

Peers

Erica S. Johnson
Comparison fields: 5 of 100
  • Molecular Biology 5.6k
  • Oncology 1.7k
  • Cell Biology 1.1k
  • Epidemiology 712
  • Genetics 625
Replace Michael H. Tatham with:
Michael H. Tatham United Kingdom
Ellis Jaffray United Kingdom
Alfred C.O. Vertegaal Netherlands
Olivier Coux France
Peter Zwickl Germany
Hisato Saitoh Japan
Joana Desterro United Kingdom
Helle D. Ulrich Germany
Michael N. Boddy United States
Ivan Matić Germany
Erica S. Johnson relative to Michael H. Tatham United Kingdom Michael H. Tatham's profile →
Citations per field
00.5×1.5×
Michael H. Tatham · 1×
Citations per year

Countries citing papers authored by Erica S. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Erica S. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica S. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Erica S. Johnson. A scholar is included among the top collaborators of Erica S. Johnson 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 Erica S. Johnson. Erica S. Johnson 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 15
2 31
3 1
4 46
5 35
6 26
7 23
8 258
9 36
10 234
11 63
12 44
13 275
14 200
15 42
16
An E3-like Factor that Promotes SUMO Conjugation to the Yeast Septinsbreakdown →
526
17 258
18 457
19 101
20
A Proteolytic Pathway That Recognizes Ubiquitin as a Degradation Signalbreakdown →
691

About Erica S. Johnson

Erica S. Johnson is a scholar working on Molecular Biology, Cell Biology and History and Philosophy of Science, having authored 33 papers that have together received 5.9k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Fungal and yeast genetics research (10 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Cell Biology (1.1k citations) and Oncology (1.7k citations). Erica S. Johnson has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Günter Blobel, Alexander Varshavsky, Irene M. Ota, John R. Yates, Steven I. Reed, James A. Wohlschlegel, R. Jürgen Dohmen, Paula C. Ramos, Jennifer Johnston and P R Waller. Their work appears in journals such as Cell, Journal of Biological Chemistry and Genes & Development.

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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