Candy Haggblom

2.0k citations
15 papers · 1.5k · h-index 12

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 2%
    • Telomeres, Telomerase, and Senescence

Papers in

Candy Haggblom

15 papers receiving 1.5k citations

Peers

Candy Haggblom
Comparison fields: 5 of 69
  • Aging 175
  • Physiology 950
  • Molecular Biology 1.2k
  • Virology 44
  • Cancer Research 101
Replace Nausica Arnoult with:
Nausica Arnoult United States
Kilian Perrem Australia
Jayakrishnan Nandakumar United States
Grzegorz Sarek United Kingdom
Lance P. Ford United States
Rekha Rai United States
Shuwen Wang China
J A Sokoloski United States
Jiyung Shin United States
Settapong T Kosiyatrakul United States
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Citations per field
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Nausica Arnoult · 1×
Citations per year

Countries citing papers authored by Candy Haggblom

Since Specialization
Citations

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

Fields of papers citing papers by Candy Haggblom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004480
2 2005225
3 2014204
4 2023106
5 2008104
6
Independent induction of senescence by p16INK4a and p21CIP1 in spontaneously immortalized human fibroblasts.
1998101
7 201682
8 199779
9 198574
10 202432
11 201224
12
The induction of growth factor-independence in murine myelocytes by oncogenes results in monoclonal cell lines and is correlated with cell crisis and karyotypic instability.
198717
13 198611
14
Growth factor independence and indefinite growth ("immortalization") appear simultaneously after crisis in murine myelocytes expressing v-myc.
19896
15 20234

About Candy Haggblom

Candy Haggblom is a scholar working on Physiology, Molecular Biology, Aging, Immunology and Genetics, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), DNA Repair Mechanisms (5 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Chromatin Dynamics (2 papers), Virus-based gene therapy research (2 papers), Cancer Mechanisms and Therapy (1 paper), Viral Infections and Vectors (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Aging (175 citations), Physiology (950 citations), Molecular Biology (1.2k citations), Virology (44 citations) and Cancer Research (101 citations). Candy Haggblom has collaborated with scholars based in United States, Portugal and Singapore. Frequent co-authors include Jan Karlseder, Ramiro E. Verdún, Laure Crabbé, Marguerite Vogt, Martin Haas, Daniel H. Lackner, Liana Oganesian, Roderick J. O’Sullivan, Nausica Arnoult and Susan Swift. Their work appears in journals such as Nature Structural & Molecular Biology, Nature Communications, Molecular Cell, Journal of Virology and iScience.

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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