Cliff Hurd

785 citations
24 papers · 657 · h-index 15

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
  • Genetics top 10%
    • Estrogen and related hormone effects

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Melanoma and MAPK Pathways 2
    • Estrogen and related hormone effects 12

Cliff Hurd

24 papers receiving 635 citations

Peers

Cliff Hurd
Comparison fields: 5 of 74
  • Toxicology 40
  • Genetics 307
  • Health, Toxicology and Mutagenesis 99
  • Oncology 158
  • Cancer Research 79
Replace Tomas Barkhem with:
Tomas Barkhem Sweden
B.‐L. Nguyen France
M. Perrot-Applanat France
D M Ignar-Trowbridge United States
Susan Upchurch United States
E. Perel Canada
Y. Nishino Germany
Hiroki Hata Japan
George E. Swaneck United States
Erik Ø. Jensen Denmark
Cliff Hurd relative to Tomas Barkhem Sweden Tomas Barkhem's profile →
Citations per field
00.5×1.5×
Tomas Barkhem · 1×
Citations per year

Countries citing papers authored by Cliff Hurd

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Hurd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Cliff Hurd, 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 Cliff Hurd Line = papers co-authored together Cliff Hurd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997113
2 199770
3 199569
4 200252
5 198743
6 201034
7 199932
8 198831
9 200130
10 198930
11 198628
12 200121
13 199916
14 198714
15 198714
16 200313
17 199910
18 19919
19 19897
20 19976

About Cliff Hurd

Cliff Hurd is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Agronomy and Crop Science, having authored 24 papers that have together received 657 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Cancer-related Molecular Pathways (7 papers), Retinoids in leukemia and cellular processes (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive Physiology in Livestock (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Toxicology (40 citations), Genetics (307 citations), Health, Toxicology and Mutagenesis (99 citations), Oncology (158 citations) and Cancer Research (79 citations). Cliff Hurd has collaborated with scholars based in United States. Frequent co-authors include V.K. Moudgil, Enrique Rozengurt, Sumi Dinda, Nidhi Khattree, Daria Vorojeikina, Angelο C. Notides, Richard T. Waldron, Suresh C. Jhanwar, Naomi Eliezer and Krisztina Kisfalvi. Their work appears in journals such as Molecular and Cellular Biochemistry, Journal of Biological Chemistry, Oncogene, Biochemical and Biophysical Research Communications and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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