Jennifer Fields

907 total citations
23 papers, 683 citations indexed

About

Jennifer Fields is a scholar working on Molecular Biology, Oncology and Biotechnology. According to data from OpenAlex, Jennifer Fields has authored 23 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Biotechnology. Recurrent topics in Jennifer Fields's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (3 papers). Jennifer Fields is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers) and RNA modifications and cancer (3 papers). Jennifer Fields collaborates with scholars based in United States, United Kingdom and South Africa. Jennifer Fields's co-authors include Steven Fiering, José R. Conejo-García, John B. Weaver, Jorge Luis Valdés González, Uciane K. Scarlett, Jason R. Baird, Adam M. Rauwerdink, Juan R. Cubillos‐Ruiz, Melanie R. Rutkowski and Nicole F. Steinmetz and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Jennifer Fields

21 papers receiving 678 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer Fields United States 13 303 286 210 69 56 23 683
Michelle Debatis United States 15 376 1.2× 200 0.7× 231 1.1× 43 0.6× 81 1.4× 22 865
Kristi A. Egland United States 14 481 1.6× 162 0.6× 119 0.6× 91 1.3× 171 3.1× 26 740
Chunyan Zhang China 14 229 0.8× 596 2.1× 215 1.0× 63 0.9× 65 1.2× 24 1.0k
Kate Liddiard United Kingdom 14 443 1.5× 456 1.6× 172 0.8× 57 0.8× 24 0.4× 17 994
Ludovico Buti United States 10 351 1.2× 319 1.1× 130 0.6× 38 0.6× 49 0.9× 15 842
Isabel Kurth United States 10 433 1.4× 510 1.8× 240 1.1× 28 0.4× 157 2.8× 22 1.0k
Eleonora Ottina Austria 12 276 0.9× 231 0.8× 214 1.0× 33 0.5× 33 0.6× 18 590
Qingchang Meng United States 14 303 1.0× 159 0.6× 119 0.6× 54 0.8× 171 3.1× 33 792
Andrea De Lerma Barbaro Italy 19 244 0.8× 572 2.0× 249 1.2× 81 1.2× 42 0.8× 41 866
Toyo Suzuki Japan 13 234 0.8× 247 0.9× 108 0.5× 29 0.4× 43 0.8× 17 615

Countries citing papers authored by Jennifer Fields

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Fields

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Fields. A scholar is included among the top collaborators of Jennifer Fields 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 Fields. Jennifer Fields 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
3.
Jones, Margaret T., et al.. (2023). Relationships between external loads, sRPE-load, and self-reported soreness across a men’s collegiate soccer season. Biology of Sport. 40(4). 1141–1150. 2 indexed citations
4.
Beiss, Veronique, et al.. (2022). In situ vaccination with cowpea mosaic virus elicits systemic antitumor immunity and potentiates immune checkpoint blockade. Journal for ImmunoTherapy of Cancer. 10(12). e005834–e005834. 25 indexed citations
5.
Fields, Jennifer, et al.. (2022). Managed and unmanaged whale mortality in the California Current Ecosystem. Marine Policy. 140. 105039–105039. 5 indexed citations
6.
Beiss, Veronique, et al.. (2021). Cowpea mosaic virus stimulates antitumor immunity through recognition by multiple MYD88-dependent toll-like receptors. Biomaterials. 275. 120914–120914. 65 indexed citations
7.
Downey-Kopyscinski, Sondra L., Jennifer Fields, Gilbert J. Rahme, et al.. (2021). Activity of immunoproteasome inhibitor ONX-0914 in acute lymphoblastic leukemia expressing MLL–AF4 fusion protein. Scientific Reports. 11(1). 10883–10883. 30 indexed citations
8.
Veliz, Frank A., et al.. (2021). Remission-Stage Ovarian Cancer Cell Vaccine with Cowpea Mosaic Virus Adjuvant Prevents Tumor Growth. Cancers. 13(4). 627–627. 17 indexed citations
9.
Traphagen, Nicole A., Jennifer Fields, Kevin Shee, et al.. (2020). AMPK Activation by Metformin Promotes Survival of Dormant ER+ Breast Cancer Cells. Clinical Cancer Research. 26(14). 3707–3719. 64 indexed citations
10.
Weaver, John B., et al.. (2020). Identifying in vivo inflammation using magnetic nanoparticle spectra. Physics in Medicine and Biology. 65(12). 125003–125003. 8 indexed citations
11.
Shee, Kevin, Nicole A. Traphagen, Jennifer Fields, et al.. (2019). Estrogen therapy induces an unfolded protein response to drive cell death in ER+ breast cancer. Molecular Oncology. 13(8). 1778–1794. 15 indexed citations
12.
Merrigan, Justin J., Sina Gallo, Jennifer Fields, & Margaret T. Jones. (2018). Foot-to-Foot Bioelectrical Impedance, Air Displacement Plethysmography, and Dual Energy X-ray Absorptiometry in Resistance-Trained Men and Women. International journal of exercise science. 11(4). 1145–1155. 8 indexed citations
13.
Zhao, Hongliang, Yoonjoo Choi, Wen Li, et al.. (2015). Structure-based redesign of lysostaphin yields potent antistaphylococcal enzymes that evade immune cell surveillance. Molecular Therapy — Methods & Clinical Development. 2. 15021–15021. 34 indexed citations
15.
Scarlett, Uciane K., Melanie R. Rutkowski, Adam M. Rauwerdink, et al.. (2012). Ovarian cancer progression is controlled by phenotypic changes in dendritic cells. The Journal of Experimental Medicine. 209(3). 495–506. 243 indexed citations
16.
Fromm, George, Michael Getman, Kathleen E. McGrath, et al.. (2011). An embryonic stage–specific enhancer within the murine β-globin locus mediates domain-wide histone hyperacetylation. Blood. 117(19). 5207–5214. 8 indexed citations
17.
Scarlett, Uciane K., Juan R. Cubillos‐Ruiz, Yolanda C. Nesbeth, et al.. (2010). Immunosuppressive Ovarian Cancer-Infiltrating Dendritic Cells can be transformed into Immunostimulatory Cells through In situ CD40 and Toll-like Receptor 3 Stimulation (100.32). The Journal of Immunology. 184(Supplement_1). 100.32–100.32. 1 indexed citations
18.
Lathrop, Melissa J., Lisa Chakrabarti, C. Harker Rhodes, et al.. (2010). Deletion of the Chd6 exon 12 affects motor coordination. Mammalian Genome. 21(3-4). 130–142. 19 indexed citations
19.
Hu, Xiao, Michael Bulger, M. A. Bender, et al.. (2005). Deletion of the core region of 5′ HS2 of the mouse β-globin locus control region reveals a distinct effect in comparison with human β-globin transgenes. Blood. 107(2). 821–826. 13 indexed citations
20.
Krieser, Ronald J., Kyle S. MacLea, Daniel S. Longnecker, et al.. (2002). Deoxyribonuclease IIα is required during the phagocytic phase of apoptosis and its loss causes perinatal lethality. Cell Death and Differentiation. 9(9). 956–962. 80 indexed citations

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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