Daniel Corum

1.2k citations
18 papers · 799 · h-index 11

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Protein Degradation and Inhibitors 2
    • ATP Synthase and ATPases Research 2
    • Acute Myeloid Leukemia Research 6
    • Chronic Myeloid Leukemia Treatments 2
    • Multiple Myeloma Research and Treatments 2

Daniel Corum

17 papers receiving 790 citations

Peers

Daniel Corum
Comparison fields: 5 of 96
  • Biological Psychiatry 51
  • Health, Toxicology and Mutagenesis 187
  • Small Animals 87
  • Clinical Biochemistry 44
  • Cell Biology 106
Replace Agnieszka Wnuk with:
Agnieszka Wnuk Poland
David M. Krzywanski United States
Ulrike Hübenthal Germany
Jinko Sawashita Japan
Mikko Unkila Finland
Kun Yi United States
Gisele Giannocco Brazil
Joanna Rzemieniec Poland
Juliana Navarro-Yepes United States
Poonam Goswami India
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Citations per field
00.5×4.9×
Agnieszka Wnuk · 1×
Citations per year

Countries citing papers authored by Daniel Corum

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Corum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011256
2 2015164
3 200995
4 201680
5 201847
6 201739
7 201333
8 201628
9 202417
10 202012
11 202310
12 20256
13 20235
14 20233
15 20232
16 20211
17 20251
18 20250

About Daniel Corum

Daniel Corum is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Oncology, having authored 18 papers that have together received 799 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Mitochondrial Function and Pathology (3 papers), Protein Degradation and Inhibitors (2 papers), ATP Synthase and ATPases Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Multiple Myeloma Research and Treatments (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Health, Toxicology and Mutagenesis (187 citations), Small Animals (87 citations), Clinical Biochemistry (44 citations) and Cell Biology (106 citations). Daniel Corum has collaborated with scholars based in United States, Saudi Arabia and Belgium. Frequent co-authors include Rick G. Schnellmann, Ryan Whitaker, Craig C. Beeson, David J. Dix, Daniel M. Rotroff, David M. Reif, Deborah L. Hunter, Nisha S. Sipes, Keith A. Houck and Thomas B. Knudsen. Their work appears in journals such as Journal of Clinical Oncology, Blood, Journal of Neurotrauma, The FASEB Journal and HemaSphere.

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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