Janet Paulsen

1.8k citations
28 papers · 1.4k indexed · h-index 21
Topics
Genetics, Aging, and Longevity in Model Organisms (6 papers)Receptor Mechanisms and Signaling (6 papers)Neuropeptides and Animal Physiology (5 papers)

In The Last Decade

Janet Paulsen

28 papers receiving 1.3k citations

Peers

Janet Paulsen
Comparison fields: 5 of 91
  • Molecular Biology 733
  • Immunology 290
  • Aging 209
  • Epidemiology 179
  • Radiology, Nuclear Medicine and Imaging 178
Replace Diego Acosta‐Alvear with:
Diego Acosta‐Alvear United States
Katarzyna Mnich Ireland
Julia A. Yaglom United States
Pankuri Goraksha-Hicks United States
William C. Comb United States
Tai-An Lin United States
Mohammad Fallahi United States
Mitsugu Shimobayashi Switzerland
Terence P. Herbert United Kingdom
Baohong Zhang United States
Janet Paulsen relative to Diego Acosta‐Alvear United States Diego Acosta‐Alvear's profile →
Citations per field
00.5×4.3×
Diego Acosta‐Alvear · 1×
Citations per year

Countries citing papers authored by Janet Paulsen

Since Specialization
Citations

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

Fields of papers citing papers by Janet Paulsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Paulsen

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Paulsen. A scholar is included among the top collaborators of Janet Paulsen 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 Janet Paulsen. Janet Paulsen 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 21
2 42
3 34
4 60
5 55
6 70
7 50
8 26
9 33
10 45
11 3
12 7
13 45
14 68
15 234
16 66
17 40
18 4
19 5
20 44

About Janet Paulsen

Janet Paulsen is a scholar working on Aging, Immunology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Receptor Mechanisms and Signaling (6 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Aging (209 citations), Biochemistry (140 citations) and Immunology (290 citations). Janet Paulsen has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Susan Strome, Heather H. Shih, Jeremy Johnson, Ruth E. Gimeno, Brian Bates, Dongmei Li, Andrew C. Lake, Wei Liu, Jian‐Liang Li and Jae Eun Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

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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