Heather H. Pua

3.0k citations
36 papers · 2.4k indexed · 1 hit paper · h-index 18
Topics
Extracellular vesicles in disease (11 papers)MicroRNA in disease regulation (11 papers)Immune Cell Function and Interaction (8 papers)

In The Last Decade

Heather H. Pua

31 papers receiving 2.4k citations

Hit Papers

A critical role for the autophagy gene Atg5 in T cell sur...20062026201220192006100200300400500

Peers

Heather H. Pua
Comparison fields: 5 of 104
  • Epidemiology 1.2k
  • Molecular Biology 1.1k
  • Immunology 909
  • Cancer Research 512
  • Physiology 270
Replace Amanda J. Stranks with:
Amanda J. Stranks United Kingdom
Emilio Boada-Romero United States
Pankaj Trivedi Italy
Christina M. O’Neill United States
Aditya Murthy Canada
Ling Lu China
Alla Skapenko Germany
Richard J. DiPaolo United States
Anthony T. Phan United States
Duncan Howie United Kingdom
Heather H. Pua relative to Amanda J. Stranks United Kingdom Amanda J. Stranks's profile →
Citations per field
00.5×3.2×
Amanda J. Stranks · 1×
Citations per year

Countries citing papers authored by Heather H. Pua

Since Specialization
Citations

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

Fields of papers citing papers by Heather H. Pua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather H. Pua. 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 Heather H. Pua. The network helps show where Heather H. Pua may publish in the future.

Co-authorship network of co-authors of Heather H. Pua

This figure shows the co-authorship network connecting the top 25 collaborators of Heather H. Pua. A scholar is included among the top collaborators of Heather H. Pua 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 Heather H. Pua. Heather H. Pua 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 26
4 0
5 10
6 11
7 17
8 167
9 0
10 58
11 1
12 68
13 16
14 103
15 11
16 192
17 10
18 24
19 276
20
A critical role for the autophagy gene Atg5 in T cell survival and proliferationbreakdown →
515

About Heather H. Pua

Heather H. Pua is a scholar working on Immunology, Cancer Research and Epidemiology, having authored 36 papers that have together received 2.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (11 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Physiology (270 citations), Immunology (909 citations) and Epidemiology (1.2k citations). Heather H. Pua has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include You‐Wen He, Noboru Mizushima, Ivan Dzhagalov, You-Wen He, K. Mark Ansel, Masaaki Komatsu, Jian Guo, Qi-Jing Li, Wei Jia and Marjan Rafat. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

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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