Monika Bajorek

2.0k citations
21 papers · 1.5k indexed · 1 hit paper · h-index 14

Monika Bajorek

21 papers receiving 1.5k citations

Hit Papers

A gated channel into the proteasome core particle.6372000202620082017200400600

Peers

Monika Bajorek
Comparison fields: 5 of 82
  • Cell Biology 695
  • Molecular Biology 1.1k
  • Epidemiology 480
  • Oncology 285
  • Physiology 38
Replace Stanley C. Winistorfer with:
Stanley C. Winistorfer United States
Lidia M. Duncan United Kingdom
Suraj Saksena United States
Cathleen M. Lake United States
Naomi Bishop Australia
J.M. Peters Germany
Kristine Bousset Germany
A.-P.J. Huovila Finland
Christopher Tipper United States
Roberto Ferrari Italy
Monika Bajorek relative to Stanley C. Winistorfer United States Stanley C. Winistorfer's profile →
Citations per field
00.5×3.2×
Stanley C. Winistorfer · 1×
Citations per year

Countries citing papers authored by Monika Bajorek

Since Specialization
Citations

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

Fields of papers citing papers by Monika Bajorek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Monika Bajorek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Monika Bajorek Line = papers co-authored together Monika Bajorek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20235
3 20227
4 20216
5 202118
6 201644
7 20161
8 201547
9 201552
10 201332
11 201237
12 2009108
13 2009175
14 200854
15 20065
16
Quality control in the secretory pathway.
20063
17 200457
18 2003134
19 200162
20
A gated channel into the proteasome core particle.breakdown →
2000637

About Monika Bajorek

Monika Bajorek is a scholar working on Cell Biology, Animal Science and Zoology and Infectious Diseases, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Viral gastroenteritis research and epidemiology (4 papers), Cellular transport and secretion (4 papers), Animal Virus Infections Studies (4 papers), Autophagy in Disease and Therapy (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cell Biology (695 citations), Molecular Biology (1.1k citations) and Epidemiology (480 citations). Monika Bajorek has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael H. Glickman, M. Groll, Luis Moroder, Alwin Köhler, David M. Rubin, Daniel Finley, Robert Huber, Daniel Finley, Wesley I. Sundquist and Jack J. Skalicky. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Current Biology.

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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