Niels Geijsen

6.5k citations
66 papers · 4.6k indexed · 4 hit papers · h-index 30
Topics
Pluripotent Stem Cells Research (29 papers)CRISPR and Genetic Engineering (22 papers)Reproductive Biology and Fertility (9 papers)

In The Last Decade

Niels Geijsen

64 papers receiving 4.5k citations

Hit Papers

Derivation of embryonic germ cells and male gametes from ...20032026201020182003201120182023200400600

Peers

Niels Geijsen
Comparison fields: 5 of 138
  • Molecular Biology 3.4k
  • Genetics 766
  • Public Health, Environmental and Occupational Health 630
  • Surgery 535
  • Biomedical Engineering 416
Replace Chengyu Liu with:
Chengyu Liu United States
Concepción Rodrı́guez Esteban United States
Linzhao Cheng United States
Ruben van Boxtel Netherlands
Christopher J. Lengner United States
Jaime A. Rivera‐Pérez United States
G. Grant Welstead United States
Igor I. Slukvin United States
Kathy K. Niakan United Kingdom
Yanhong Zhao China
Niels Geijsen relative to Chengyu Liu United States Chengyu Liu's profile →
Citations per field
00.5×1.5×1.9×
Chengyu Liu · 1×
Citations per year

Countries citing papers authored by Niels Geijsen

Since Specialization
Citations

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

Fields of papers citing papers by Niels Geijsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niels Geijsen

This figure shows the co-authorship network connecting the top 25 collaborators of Niels Geijsen. A scholar is included among the top collaborators of Niels Geijsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niels Geijsen. Niels Geijsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 22
4
Prime editing: advances and therapeutic applicationsbreakdown →
104
5 10
6 11
7 28
8
Blastocyst-like structures generated solely from stem cellsbreakdown →
360
9 84
10 27
11 90
12 284
13 3
14 217
15 8
16
Sox2+ Adult Stem and Progenitor Cells Are Important for Tissue Regeneration and Survival of Micebreakdown →
581
17 38
18 2
19 168
20 6

About Niels Geijsen

Niels Geijsen is a scholar working on Aging, Business and International Management and Hepatology, having authored 66 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (29 papers), CRISPR and Genetic Engineering (22 papers) and Reproductive Biology and Fertility (9 papers). The work is most often cited by research in Aging (97 citations), Molecular Biology (3.4k citations) and Reproductive Medicine (254 citations). Niels Geijsen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include George Q. Daley, Joost Gribnau, Kevin Eggan, Kitai Kim, Leo Koenderman, José M. Polo, Konrad Hochedlinger, Katrin Arnold, Rod T. Bronson and Marco Seandel. Their work appears in journals such as Nature, Science and Cell.

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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