Bita Sehat

1.3k citations
16 papers · 1.1k · h-index 15

Impact in

Papers in

Bita Sehat

16 papers receiving 1.1k citations

Peers

Bita Sehat
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 346
  • Cancer Research 203
  • Molecular Biology 813
  • Oncology 197
  • Cellular and Molecular Neuroscience 136
Replace María J. Artiga with:
María J. Artiga Spain
Joseph L.‐K. Chan United States
Nathalie Saint‐Laurent France
Aline Kowalski‐Chauvel France
Jason Gill Switzerland
Shurong Chang United States
Radu Vasilcanu Sweden
Rainer Apfel Germany
Hetty A. G. M. van der Korput Netherlands
Yunchao Chang United States
Bita Sehat relative to María J. Artiga Spain María J. Artiga's profile →
Citations per field
00.5×2×3×4×4.9×
María J. Artiga · 1×
Citations per year

Countries citing papers authored by Bita Sehat

Since Specialization
Citations

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

Fields of papers citing papers by Bita Sehat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010206
2 2005146
3 2007119
4 200896
5 200986
6 201274
7 200767
8 200765
9 201057
10 201452
11 200738
12 201434
13 200931
14 201624
15 200620
16 20121

About Bita Sehat

Bita Sehat is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Ubiquitin and proteasome pathways (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Mechanisms and Therapy (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (346 citations), Cancer Research (203 citations), Molecular Biology (813 citations), Oncology (197 citations) and Cellular and Molecular Neuroscience (136 citations). Bita Sehat has collaborated with scholars based in Sweden, United States and France. Frequent co-authors include Olle Larsson, Leonard Girnita, Radu Vasilcanu, Sandra Andersson, Ada Girnita, Yingbo Lin, Robert J. Lefkowitz, Sudha K. Shenoy, Ali Asghar Tofigh and Ulrika Liljedahl. Their work appears in journals such as Biochemical and Biophysical Research Communications, Oncogene, Journal of Biological Chemistry, Science Signaling and Growth Hormone & IGF 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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