Hetti Poukka

1.8k citations
16 papers · 1.6k · h-index 14

Impact in

Papers in

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

Hetti Poukka

16 papers receiving 1.5k citations

Peers

Hetti Poukka
Comparison fields: 5 of 73
  • Genetics 642
  • Endocrinology, Diabetes and Metabolism 320
  • Molecular Biology 1.2k
  • Pulmonary and Respiratory Medicine 390
  • Cancer Research 152
Replace Guy Verrijdt with:
Guy Verrijdt Belgium
Jiann-an Tan United States
J. Don Chen United States
Juan Inostroza United States
Stephan P. Tenbaum Spain
E M Wilson United States
Wei‐Hsiung Yang United States
Bertrand Le Douarin France
Dietmar von der Ahe Germany
James D. Joseph 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 21 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

16 of 16 papers shown
#Work
1 2000386
2 1998195
3 1999164
4 1999143
5 2002141
6 1995125
7 1998108
8 2000107
9 200078
10 200064
11 200239
12 199930
13 199618
14 200015
15 20003
16 19961

About Hetti Poukka

Hetti Poukka is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Ubiquitin and proteasome pathways (5 papers), Prostate Cancer Treatment and Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Enzyme Structure and Function (2 papers), Retinoids in leukemia and cellular processes (2 papers), Genomics and Chromatin Dynamics (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Genetics (642 citations), Endocrinology, Diabetes and Metabolism (320 citations), Molecular Biology (1.2k citations), Pulmonary and Respiratory Medicine (390 citations) and Cancer Research (152 citations). Hetti Poukka has collaborated with scholars based in Finland, Italy and Japan. Frequent co-authors include Jorma J. Palvimo, Olli A. Jänne, Ulla Karvonen, Anu‐Maarit Moilanen, Piia Aarnisalo, Marika Häkli, Sha Tian, Pekka Kallio, Wei Yan and Jorma Toppari. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Society Transactions, Biochemical and Biophysical Research Communications, Biochemical Journal and Journal of Cell Science.

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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