Jennifer Poon

2.1k total citations
16 papers, 278 citations indexed

About

Jennifer Poon is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Jennifer Poon has authored 16 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 8 papers in Genetics and 5 papers in Oncology. Recurrent topics in Jennifer Poon's work include Advanced Breast Cancer Therapies (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Myeloid Leukemia Research (3 papers). Jennifer Poon is often cited by papers focused on Advanced Breast Cancer Therapies (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Acute Myeloid Leukemia Research (3 papers). Jennifer Poon collaborates with scholars based in United States, United Kingdom and Italy. Jennifer Poon's co-authors include Rajat Bannerji, Angela LaRosa, Karen Small, G. Shashidhar Pai, Yali Zhu, Da Zhang, Ying-Ming Jou, Paul Statkevich, Alison Walker and Maria R. Baer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PEDIATRICS.

In The Last Decade

Jennifer Poon

15 papers receiving 270 citations

Peers

Jennifer Poon
Comparison fields: 5 of 52
  • Oncology 131
  • Pulmonary and Respiratory Medicine 111
  • Molecular Biology 82
  • Genetics 67
  • Pediatrics, Perinatology and Child Health 43
Replace M R Howard with:
M R Howard United States
Beate Steiner Germany
Omotayo Arowojolu United States
Maria Francesca Campagnoli Italy
Yiola Marcou Cyprus
Danielle Hammond United States
Simona Ultimo Italy
Raymond Lord United States
Fuminori Iwasaki Japan
S.B. Kaye United Kingdom
M R Howard United States View profile →
Citations per field, relative to Jennifer Poon
Jennifer Poon · 1×
Citations per year, relative to Jennifer Poon
Jennifer Poon · 1×

Countries citing papers authored by Jennifer Poon

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Poon

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 6
3 2
4 9
5 4
6 6
7 48
8 74
9 23
10 10
11 12
12 0
13 46
14 9
15 12
16 16

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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