Jonas Malmsten

903 citations
28 papers · 536 · 1 hit paper · h-index 10

Impact in

Papers in

Jonas Malmsten

24 papers receiving 512 citations

Jonas Malmsten's Hit Papers

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization 2019 · 272 citations
2720+2+4Years since publication50100150200250

Peers

Jonas Malmsten
Comparison fields: 5 of 68
  • Health Informatics 64
  • Reproductive Medicine 181
  • Pediatrics, Perinatology and Child Health 246
  • Public Health, Environmental and Occupational Health 342
  • Biophysics 19
Replace Hemanth Kandula with:
Hemanth Kandula United States
Pantelis Zisimopoulos Israel
Cristina Hickman United Kingdom
Marco Toschi United States
Alejandro Chávez-Badiola United States
Rohan Pooniwala United States
Adolfo Flores-Saiffe Farías Mexico
Adrian Johnston Australia
Lynn M. Boehnlein United States
Jonas Malmsten relative to Hemanth Kandula United States Hemanth Kandula's profile →
Citations per field
00.5×2.9×
Hemanth Kandula · 1×
Citations per year

Countries citing papers authored by Jonas Malmsten

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Malmsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
Hit paper breakdown →
2019272
2 202265
3 202045
4 202241
5 202032
6 202011
7
Comparing TensorFlow Deep Learning Performance Using CPUs, GPUs, Local PCs and Cloud
201711
8 202410
9 202010
10 20189
11 20195
12 20195
13 20184
14 20184
15 20222
16 20222
17 20231
18 20251
19 20231
20 20221

About Jonas Malmsten

Jonas Malmsten is a scholar working on Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Molecular Biology, Reproductive Medicine and Epidemiology, having authored 28 papers that have together received 536 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (18 papers), Assisted Reproductive Technology and Twin Pregnancy (8 papers), Prenatal Screening and Diagnostics (6 papers), Reproductive Health and Technologies (4 papers), Preterm Birth and Chorioamnionitis (2 papers), Molecular Biology Techniques and Applications (2 papers), Pluripotent Stem Cells Research (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Health Informatics (64 citations), Reproductive Medicine (181 citations), Pediatrics, Perinatology and Child Health (246 citations), Public Health, Environmental and Occupational Health (342 citations) and Biophysics (19 citations). Jonas Malmsten has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Nikica Zaninović, Qiansheng Zhan, Zev Rosenwaks, Olivier Elemento, Iman Hajirasouliha, Marcos Meseguer, Alexandros Sigaras, Pantelis Zisimopoulos, Pegah Khosravi and Cristina Hickman. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Reproductive BioMedicine Online, Nature Communications and npj Digital Medicine.

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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