Jennifer Niven

488 total citations
10 papers, 366 citations indexed

About

Jennifer Niven is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jennifer Niven has authored 10 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Jennifer Niven's work include Autophagy in Disease and Therapy (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Immune Cell Function and Interaction (3 papers). Jennifer Niven is often cited by papers focused on Autophagy in Disease and Therapy (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Immune Cell Function and Interaction (3 papers). Jennifer Niven collaborates with scholars based in United Kingdom, Switzerland and United States. Jennifer Niven's co-authors include Monique Gannagé, Dolores Camacho‐Muñoz, Claudio Mauro, Anna Nicolaou, Stéphanie Hugues, Isabel J. Crane, Neil Vargesson, William D. Figg, Nigel H. Greig and Gayathri Devarajan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Jennifer Niven

10 papers receiving 364 citations

Peers

Jennifer Niven
Comparison fields: 5 of 68
  • Epidemiology 158
  • Molecular Biology 146
  • Immunology 122
  • Oncology 39
  • Hematology 34
Replace Yoon Min with:
Yoon Min South Korea
Linlu Tian United States
Larissa N. Almeida United States
Nupur Aggarwal United States
Xiaoxia Zhan China
Federica Rossin Italy
Chadwick T. Davis United States
Ellen L. Mercado United States
Zayda L. Piedra-Quintero Mexico
Seung Ah Yoo South Korea
Yoon Min South Korea View profile →
Citations per field, relative to Jennifer Niven
Jennifer Niven · 1×
Citations per year, relative to Jennifer Niven
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Countries citing papers authored by Jennifer Niven

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Niven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Niven

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 7
2 16
3 24
4 48
5 16
6 126
7 23
8 25
9 28
10 53

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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