Joshua T. Eggold

661 total citations
8 papers, 286 citations indexed

About

Joshua T. Eggold is a scholar working on Molecular Biology, Biotechnology and Oncology. According to data from OpenAlex, Joshua T. Eggold has authored 8 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Biotechnology and 2 papers in Oncology. Recurrent topics in Joshua T. Eggold's work include Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Microbial metabolism and enzyme function (2 papers). Joshua T. Eggold is often cited by papers focused on Cancer Research and Treatments (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Microbial metabolism and enzyme function (2 papers). Joshua T. Eggold collaborates with scholars based in United States, Australia and South Korea. Joshua T. Eggold's co-authors include Erinn B. Rankin, Katherine C. Fuh, Venkatesh Krishnan, Oliver Dorigo, Suchitra Natarajan, Sarah C. Heilshorn, Kelsea M. Hubka, Chenkai Ma, Jin Qian and Annika Enejder and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Joshua T. Eggold

7 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua T. Eggold United States	6	115	109	63	53	34	8	286
Marwa Asem United States	6	211 1.8×	87 0.8×	65 1.0×	52 1.0×	42 1.2×	8	345
Suchitra Natarajan United States	8	226 2.0×	130 1.2×	126 2.0×	48 0.9×	38 1.1×	13	379
Maria Corallo Italy	8	182 1.6×	300 2.8×	83 1.3×	106 2.0×	51 1.5×	11	455
Yiqun Zhang China	10	206 1.8×	52 0.5×	72 1.1×	44 0.8×	14 0.4×	28	354
James Lagowski United States	8	201 1.7×	130 1.2×	63 1.0×	58 1.1×	40 1.2×	12	338
Radhika Mathur United States	10	445 3.9×	137 1.3×	99 1.6×	68 1.3×	21 0.6×	26	575
Thamar van Dijk Netherlands	5	169 1.5×	79 0.7×	28 0.4×	76 1.4×	29 0.9×	7	340
Mai Sugiyama Japan	13	210 1.8×	130 1.2×	106 1.7×	69 1.3×	75 2.2×	30	406
Karen Gambaro Canada	11	266 2.3×	114 1.0×	65 1.0×	19 0.4×	29 0.9×	18	384
Nicola Foster United Kingdom	9	155 1.3×	47 0.4×	54 0.9×	28 0.5×	9 0.3×	11	320

Countries citing papers authored by Joshua T. Eggold

Since Specialization

Citations

This map shows the geographic impact of Joshua T. Eggold'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 Joshua T. Eggold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua T. Eggold more than expected).

Fields of papers citing papers by Joshua T. Eggold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua T. Eggold. 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 Joshua T. Eggold. The network helps show where Joshua T. Eggold may publish in the future.

Co-authorship network of co-authors of Joshua T. Eggold

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

All Works

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8 of 8 papers shown

1.

Shaw, Lauren, Mathilde Poussin, Alba Rodríguez-García, et al.. (2022). TCRvβ-CART therapy mediates high-precision targeting of malignant T-cell clones. Blood Advances. 7(9). 1885–1898. 5 indexed citations

2.

Qian, Jin, Bauer L. LeSavage, Kelsea M. Hubka, et al.. (2021). Cancer-associated mesothelial cells promote ovarian cancer chemoresistance through paracrine osteopontin signaling. Journal of Clinical Investigation. 131(16). 95 indexed citations

3.

Natarajan, Suchitra, Ninna S. Rossen, Hussein Shehade, et al.. (2019). Collagen Remodeling in the Hypoxic Tumor-Mesothelial Niche Promotes Ovarian Cancer Metastasis. Cancer Research. 79(9). 2271–2284. 88 indexed citations

4.

Levy, Karen, Marjan Rafat, Joshua T. Eggold, et al.. (2019). Preclinical testing of ultra-rapid FLASH total abdominal irradiation demonstrates survival benefit and decreased gastrointestinal toxicity compared to conventional external beam radiation.. Journal of Clinical Oncology. 37(15_suppl). 3092–3092.

5.

Natarajan, Suchitra, Hussein Shehade, Joshua T. Eggold, et al.. (2019). Abstract TMIM-081: THE HYPOXIC TUMOR-MESOTHELIAL NICHE PROMOTES OVARIAN CANCER METASTASIS THROUGH COLLAGEN REMODELING. Clinical Cancer Research. 25(22_Supplement). TMIM–81. 2 indexed citations

6.

Eggold, Joshua T. & Erinn B. Rankin. (2018). Erythropoiesis, EPO, macrophages, and bone. Bone. 119. 36–41. 54 indexed citations

7.

Chen, Chen, et al.. (2016). ESM1 mediates NGFR-induced invasion and metastasis in murine oral squamous cell carcinoma. Oncotarget. 7(43). 70738–70749. 18 indexed citations

8.

Sowd, Gregory A., et al.. (2014). SV40 Utilizes ATM Kinase Activity to Prevent Non-homologous End Joining of Broken Viral DNA Replication Products. PLoS Pathogens. 10(12). e1004536–e1004536. 24 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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