Jennifer Yam

18 total papers · 995 total citations
8 papers, 124 citations indexed

About

Jennifer Yam is a scholar working on Oncology, Immunology and Infectious Diseases. According to data from OpenAlex, Jennifer Yam has authored 8 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Jennifer Yam's work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). Jennifer Yam is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). Jennifer Yam collaborates with scholars based in United States, Canada and United Kingdom. Jennifer Yam's co-authors include Sally Honeycutt, April Hermstad, Kimberly Jacob Arriola, Regine Haardörfer, Denise Ballard, Jagdish Butany, Kelsey B. Law, Tao Wang, Bobby Yanagawa and Jennifer L. Gommerman and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Cancer.

In The Last Decade

Jennifer Yam

7 papers receiving 120 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Yam 64 28 24 19 16 8 124
Matthias Olden 56 0.9× 18 0.6× 15 0.6× 14 0.7× 25 1.6× 10 224
Rita Poon 53 0.8× 7 0.3× 43 1.8× 19 1.0× 30 1.9× 8 228
Susan Flynn 117 1.8× 10 0.4× 54 2.3× 10 0.5× 11 0.7× 11 216
Amy Woodruff 109 1.7× 16 0.6× 35 1.5× 9 0.5× 35 2.2× 8 254
Steve Fakharzadeh 37 0.6× 15 0.5× 108 4.5× 7 0.4× 40 2.5× 6 252
Elaine Kennedy 65 1.0× 12 0.4× 5 0.2× 24 1.3× 59 3.7× 11 271
Kristen Labbe 146 2.3× 31 1.1× 19 0.8× 10 0.5× 63 3.9× 6 232
Yanhong Ding 41 0.6× 5 0.2× 13 0.5× 16 0.8× 59 3.7× 9 228
Bénédicte Gelas‐Dore 17 0.3× 6 0.2× 12 0.5× 27 1.4× 9 0.6× 9 123
Davide Checchin 23 0.4× 10 0.4× 16 0.7× 44 2.3× 9 0.6× 11 117

Countries citing papers authored by Jennifer Yam

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Yam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Yam

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

All Works

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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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