Hetti Poukka

1.8k citations
15 papers · 1.5k indexed · h-index 13

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Protein Kinase Regulation and GTPase Signaling 3
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Retinoids in leukemia and cellular processes 2
    • Estrogen and related hormone effects 10

Hetti Poukka

15 papers receiving 1.5k citations

Peers

Hetti Poukka
Comparison fields: 5 of 76
  • Genetics 629
  • Endocrinology, Diabetes and Metabolism 289
  • Molecular Biology 1.1k
  • Pulmonary and Respiratory Medicine 365
  • Cancer Research 150
Replace Guy Verrijdt with:
Guy Verrijdt Belgium
Jiann-an Tan United States
J. Don Chen United States
Catharine L. Smith United States
Meelis Kolmer Finland
E M Wilson United States
James D. Joseph United States
Guillermo P. Vicent Spain
Michael Kullmann Austria
D W Rose United States
Hetti Poukka relative to Guy Verrijdt Belgium Guy Verrijdt's profile →
Citations per field
00.5×1.5×
Guy Verrijdt · 1×
Citations per year

Countries citing papers authored by Hetti Poukka

Since Specialization
Citations

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

Fields of papers citing papers by Hetti Poukka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2000366
2 1998184
3 1999159
4 2002134
5 1999129
6 1995117
7 1998101
8 200098
9 200073
10 200064
11 200238
12 199926
13 199617
14 200010
15 20003

About Hetti Poukka

Hetti Poukka is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Immunology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Ubiquitin and proteasome pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Prostate Cancer Treatment and Research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Genetics (629 citations), Endocrinology, Diabetes and Metabolism (289 citations), Molecular Biology (1.1k citations), Pulmonary and Respiratory Medicine (365 citations) and Cancer Research (150 citations). Hetti Poukka has collaborated with scholars based in Finland, Italy and United States. Frequent co-authors include Jorma J. Palvimo, Olli A. Jänne, Ulla Karvonen, Anu‐Maarit Moilanen, Piia Aarnisalo, Marika Häkli, Pekka Kallio, Wei Yan, Jorma Toppari and Henrikki Santti. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Society Transactions, Molecular Biology of the Cell, Molecular and Cellular Biology and Endocrinology.

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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