Jennifer Fuller

1.6k total citations
32 papers, 1.1k citations indexed

About

Jennifer Fuller is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Jennifer Fuller has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 9 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Jennifer Fuller's work include Immunotherapy and Immune Responses (5 papers), Genetic Associations and Epidemiology (4 papers) and Immune Cell Function and Interaction (4 papers). Jennifer Fuller is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Genetic Associations and Epidemiology (4 papers) and Immune Cell Function and Interaction (4 papers). Jennifer Fuller collaborates with scholars based in United States, Qatar and Germany. Jennifer Fuller's co-authors include Margaret R. Gyetko, Theodore J. Standiford, Sudha Sud, Galen B. Toews, Tara Kendall, Michael W. Newstead, Ronald G. Crystal, Jacqueline Salit, M R Gyetko and Richard E. Goodman and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jennifer Fuller

32 papers receiving 1.1k citations

Peers

Jennifer Fuller
Comparison fields: 5 of 106
  • Cancer Research 322
  • Molecular Biology 301
  • Immunology 287
  • Hematology 184
  • Genetics 183
Replace Dmitry A. Soloviev with:
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Avinash Khandagale Sweden
E A Jaffe United States
Caterina Cancrini Italy
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Dmitry A. Soloviev United States View profile →
Citations per field, relative to Jennifer Fuller
Jennifer Fuller · 1×
Citations per year, relative to Jennifer Fuller
Jennifer Fuller · 1×

Countries citing papers authored by Jennifer Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Fuller

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Fuller. A scholar is included among the top collaborators of Jennifer Fuller 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 Fuller. Jennifer Fuller 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
# Work Indexed citations
1 1
2 30
3 62
4 79
5 2
6 45
7 13
8 2
9 80
10 57
11 49
12 171
13 27
14 43
15 164
16
The therapeutic efficacy of murine anti-tumor T cells: freshly isolated T cells are more therapeutic than T cells expanded in vitro.
4
17 88
18
Changes in tumor-associated NK 1.1+ large granular lymphocyte precursors after cyclophosphamide injection: in vitro characterization and potential therapeutic application.
3
19 1
20
[Correction of fatal genetic diseases using bone marrow transplantation. 2].
11

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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