Daniel E. Carrasco

2.1k citations
19 papers · 1.6k · h-index 14

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Multiple Myeloma Research and Treatments 5
    • Peptidase Inhibition and Analysis 6

Daniel E. Carrasco

19 papers receiving 1.6k citations

Peers

Daniel E. Carrasco
Comparison fields: 5 of 93
  • Hematology 272
  • Cell Biology 300
  • Molecular Biology 1.1k
  • Oncology 355
  • Cancer Research 155
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Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Carrasco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Carrasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Carrasco. 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 Daniel E. Carrasco. The network helps show where Daniel E. Carrasco may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007344
2 2012225
3 2007199
4 2009167
5 1993164
6 2003119
7 200990
8 201980
9 199777
10 200343
11 201323
12 200721
13 202020
14 202220
15 199014
16
Casein kinase II is a major protein phosphorylating activity in the nuclei of Xenopus laevis oocytes.
19876
17
Polylysine and polyamine stimulation of the phosphatidylinositol kinases of amphibian oocyte membranes.
19883
18 19892
19 20081

About Daniel E. Carrasco

Daniel E. Carrasco is a scholar working on Hematology, Oncology, Environmental Chemistry, Molecular Biology and Cell Biology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (6 papers), Multiple Myeloma Research and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers), Marine Toxins and Detection Methods (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Reproductive Biology and Fertility (2 papers), Animal Genetics and Reproduction (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Hematology (272 citations), Cell Biology (300 citations), Molecular Biology (1.1k citations), Oncology (355 citations) and Cancer Research (155 citations). Daniel E. Carrasco has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Daniel Ruben Carrasco, Mala Mani, Kenneth Carl Anderson, Kumar Sukhdeo, Nikhil C. Munshi, Mei Zheng, Yunyu Zhang, Kohichi Takada, Rodrigo Bravo and Richard Metz. Their work appears in journals such as Blood, Experimental Cell Research, Cancer Cell, Free Radical Research and Seminars in Cancer 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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