Jan Beise

2.1k citations
15 papers · 1.0k indexed · 1 hit paper · h-index 13
Topics
Demographic Trends and Gender Preferences (5 papers)Evolutionary Psychology and Human Behavior (3 papers)Birth, Development, and Health (2 papers)

In The Last Decade

Jan Beise

15 papers receiving 956 citations

Hit Papers

Levels and trends in child mortality. Estimates developed...20152026201820222015100200300400

Peers

Jan Beise
Comparison fields: 5 of 123
  • Pediatrics, Perinatology and Child Health 389
  • Nutrition and Dietetics 213
  • General Health Professions 176
  • Experimental and Cognitive Psychology 176
  • Gender Studies 173
Replace Timothy B. Gage with:
Timothy B. Gage United States
Duncan Gillespie United Kingdom
Sara Stinson United States
Lauren Gaydosh United States
Nadine Peacock United States
John Bock United States
Linda A. Turner Canada
Brooke A. Scelza United States
Mhairi A. Gibson United Kingdom
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Jan Beise relative to Timothy B. Gage United States Timothy B. Gage's profile →
Citations per field
00.5×4.2×
Timothy B. Gage · 1×
Citations per year

Countries citing papers authored by Jan Beise

Since Specialization
Citations

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

Fields of papers citing papers by Jan Beise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Beise

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Beise. A scholar is included among the top collaborators of Jan Beise 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 Jan Beise. Jan Beise is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2
A child is a child: protecting children on the move from violence abuse and exploitation.
30
3
Levels and trends in child mortality. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (IGME). Report 2015.breakdown →
428
4 74
5 67
6 24
7 15
8 1
9 18
10 3
11 35
12 17
13 130
14 133
15 34

About Jan Beise

Jan Beise is a scholar working on Aging, Gender Studies and Developmental Biology, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include Demographic Trends and Gender Preferences (5 papers), Evolutionary Psychology and Human Behavior (3 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Developmental Biology (77 citations), Pediatrics, Perinatology and Child Health (389 citations) and Gender Studies (173 citations). Jan Beise has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Eckart Voland, You D, Jörg U. Ganzhorn, Andreas Koenig, Mukesh Kumar Chalise, Molly Fox, Leslie A. Knapp, Rebecca Sear, Alain Gagnon and Bobbi S. Low. Their work appears in journals such as Proceedings of the National Academy of Sciences, Proceedings of the Royal Society B Biological Sciences and BMJ.

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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