C. Pichlo

571 citations
15 papers · 412 · h-index 10

Impact in

    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 4
    • Glycosylation and Glycoproteins Research 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Peptidase Inhibition and Analysis 3

C. Pichlo

15 papers receiving 411 citations

Peers

C. Pichlo
Comparison fields: 5 of 69
  • Molecular Biology 302
  • Oncology 103
  • Cellular and Molecular Neuroscience 62
  • Cell Biology 37
  • Organic Chemistry 61
Replace Charuta C. Palsuledesai with:
Charuta C. Palsuledesai United States
Stephan Krapp Germany
Xuejia Yang China
Marieke Lamers United Kingdom
Sanghamitra Mitra United States
Inna Zilberleyb United States
Janel K. Warmka United States
Jessica L. Goodman United States
Suk‐Kyeong Jung South Korea
Pankaj Kumar Singh India
C. Pichlo relative to Charuta C. Palsuledesai United States Charuta C. Palsuledesai's profile →
Citations per field
00.5×1.5×2.4×
Charuta C. Palsuledesai · 1×
Citations per year

Countries citing papers authored by C. Pichlo

Since Specialization
Citations

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

Fields of papers citing papers by C. Pichlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. Pichlo, 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 C. Pichlo Line = papers co-authored together C. Pichlo links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2018104
2 201962
3 202046
4 201843
5 202040
6 201734
7 201520
8 201815
9 201912
10 202211
11 20197
12 20227
13 20186
14 20164
15 20181

About C. Pichlo

C. Pichlo is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Immunology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 412 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Enzyme Production and Characterization (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Molecular Biology (302 citations), Oncology (103 citations), Cellular and Molecular Neuroscience (62 citations), Cell Biology (37 citations) and Organic Chemistry (61 citations). C. Pichlo has collaborated with scholars based in Germany, New Zealand and Netherlands. Frequent co-authors include Ulrich Baumann, Kay Hofmann, Thomas Hermanns, Katharina F. Witting, Karsten Klopffleisch, Huib Ovaa, Uwe Knippschild, Christian Peifer, Elena Brunstein and Moritz Horn. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Molecules, The EMBO Journal 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.

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