L. I. Huschtscha

1.6k citations
16 papers · 1.4k indexed · h-index 13
  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms 2
  • Oncology top 10%
    • Cancer-related Molecular Pathways 4
    • DNA Repair Mechanisms 4
    • Cell death mechanisms and regulation 2
    • Epigenetics and DNA Methylation 2
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence 5
    • Cancer Research and Treatments 2
    • Estrogen and related hormone effects 2

L. I. Huschtscha

16 papers receiving 1.3k citations

Peers

L. I. Huschtscha
Comparison fields: 5 of 100
  • Aging 80
  • Oncology 417
  • Cancer Research 206
  • Molecular Biology 884
  • Physiology 314
Replace Anna Stępczyńska with:
Anna Stępczyńska Germany
Libin Ma China
Long T. Quan United States
Françoise de Longueville Belgium
Paul S. Kayne United States
Sanjit K. Roy United States
Young‐Han Song South Korea
H. Gut Switzerland
Hernán G. Fariña Argentina
Vincent Rincheval France
L. I. Huschtscha relative to Anna Stępczyńska Germany Anna Stępczyńska's profile →
Citations per field
00.5×1.5×1.9×
Anna Stępczyńska · 1×
Citations per year

Countries citing papers authored by L. I. Huschtscha

Since Specialization
Citations

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

Fields of papers citing papers by L. I. Huschtscha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. I. Huschtscha. 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 L. I. Huschtscha. The network helps show where L. I. Huschtscha may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201436
2 201235
3 199990
4
Loss of p16INK4 expression by methylation is associated with lifespan extension of human mammary epithelial cells.
1998138
5 199687
6 199449
7 1993472
8 19905
9 198624
10 198541
11 19852
12 1983209
13 198137
14 197730
15 1977126
16 197510

About L. I. Huschtscha

L. I. Huschtscha is a scholar working on Aging, Biotechnology and Oncology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Cell death mechanisms and regulation (2 papers), Cancer Research and Treatments (2 papers), Estrogen and related hormone effects (2 papers), Epigenetics and DNA Methylation (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (80 citations), Oncology (417 citations) and Cancer Research (206 citations). L. I. Huschtscha has collaborated with scholars based in Australia, Tanzania and United Kingdom. Frequent co-authors include R. Holliday, C Paraskeva, Angela Hague, David A. Hart, Anthony M. Manning, Thomas B. L. Kirkwood, G. M. TARRANT, Susan J. Clark, Roger R. Reddel and Jane R. Noble. Their work appears in journals such as Science, Journal of Cell Science and FEBS Letters.

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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