Jody E. Hooper

2.1k total citations
61 papers, 943 citations indexed

About

Jody E. Hooper is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jody E. Hooper has authored 61 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jody E. Hooper's work include Autopsy Techniques and Outcomes (9 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Jody E. Hooper is often cited by papers focused on Autopsy Techniques and Outcomes (9 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Cancer Genomics and Diagnostics (5 papers). Jody E. Hooper collaborates with scholars based in United States, United Kingdom and Austria. Jody E. Hooper's co-authors include C. Matthew Stewart, Heba H. Mostafa, Stephen A. Geller, Angelo M. De Marzo, Isaac H. Solomon, David W. Nauen, William B. Isaacs, Priscilla Baez, Rajya Kappagantula and Christine A. Iacobuzio–Donahue and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jody E. Hooper

58 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jody E. Hooper United States 17 238 226 207 165 133 61 943
Ofelia Álvarez United States 27 211 0.9× 150 0.7× 349 1.7× 218 1.3× 78 0.6× 73 2.8k
Jong Jin Seo South Korea 24 291 1.2× 144 0.6× 212 1.0× 154 0.9× 287 2.2× 110 1.5k
Maria Caterina Putti Italy 20 204 0.9× 101 0.4× 220 1.1× 162 1.0× 144 1.1× 95 1.5k
Mehmet Akif Öztürk Türkiye 14 340 1.4× 167 0.7× 232 1.1× 112 0.7× 111 0.8× 58 1.0k
John L. Frater United States 21 355 1.5× 111 0.5× 248 1.2× 347 2.1× 167 1.3× 86 1.5k
Pengcheng Cai China 18 244 1.0× 191 0.8× 357 1.7× 525 3.2× 241 1.8× 44 1.5k
Melchior Lauten Germany 19 169 0.7× 110 0.5× 250 1.2× 116 0.7× 110 0.8× 46 1.0k
Kyung Duk Park South Korea 20 199 0.8× 185 0.8× 209 1.0× 79 0.5× 89 0.7× 103 1.2k
Mohammed Akhtar United Kingdom 18 186 0.8× 203 0.9× 272 1.3× 184 1.1× 37 0.3× 53 1.3k
Martine van Grotel Netherlands 19 279 1.2× 304 1.3× 394 1.9× 84 0.5× 94 0.7× 70 1.3k

Countries citing papers authored by Jody E. Hooper

Since Specialization
Citations

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

Fields of papers citing papers by Jody E. Hooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jody E. Hooper. 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 Jody E. Hooper. The network helps show where Jody E. Hooper may publish in the future.

Co-authorship network of co-authors of Jody E. Hooper

This figure shows the co-authorship network connecting the top 25 collaborators of Jody E. Hooper. A scholar is included among the top collaborators of Jody E. Hooper 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 Jody E. Hooper. Jody E. Hooper 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.
Moses, Abraham S., R.S. Malek, Madeleine Landry, et al.. (2024). Monitoring of cancer ferroptosis with [18F]hGTS13, a system xc- specific radiotracer. Theranostics. 15(3). 836–849. 3 indexed citations
4.
Talor, Monica V., David M. Hughes, Ilja Střı́ž, et al.. (2024). Injury-induced myosin-specific tissue-resident memory T cells drive immune checkpoint inhibitor myocarditis. Proceedings of the National Academy of Sciences. 121(42). e2323052121–e2323052121. 7 indexed citations
5.
Chen, Shuming, Tracee L. McMiller, Abha Soni, et al.. (2024). Comparing anti-tumor and anti-self immunity in a patient with melanoma receiving immune checkpoint blockade. Journal of Translational Medicine. 22(1). 241–241. 6 indexed citations
7.
Zhao, Mengya, Kenichi Toma, Benyam Kinde, et al.. (2023). Osteopontin drives retinal ganglion cell resiliency in glaucomatous optic neuropathy. Cell Reports. 42(9). 113038–113038. 14 indexed citations
8.
Sagi, Varun, Lindsay S. Moore, Xiaojie Ma, et al.. (2023). Mortui vivos docent: a modern revival of temporal bone plug harvests. Frontiers in Neuroscience. 17. 1242831–1242831.
9.
Won, Taejoon, David M. Hughes, Monica V. Talor, et al.. (2022). Endothelial thrombomodulin downregulation caused by hypoxia contributes to severe infiltration and coagulopathy in COVID-19 patient lungs. EBioMedicine. 75. 103812–103812. 63 indexed citations
10.
Wake, Laura, Derek B. Allison, Jody E. Hooper, et al.. (2021). Pathology Residency Program Special Expertise Tracks Meet the Needs of an Evolving Field. Academic Pathology. 8. 2466136426–2466136426. 4 indexed citations
11.
Francischetti, Ivo M.B., Kevin H. Toomer, Yifan Zhang, et al.. (2021). Upregulation of pulmonary tissue factor, loss of thrombomodulin and immunothrombosis in SARS-CoV-2 infection. EClinicalMedicine. 39. 101069–101069. 48 indexed citations
12.
Zhu, Yezi, Susan L. Dalrymple, Ilsa M. Coleman, et al.. (2021). Correction to: Role of androgen receptor splice variant-7 (AR-V7) in prostate cancer resistance to 2nd-generation androgen receptor signaling inhibitors. Oncogene. 40(11). 2148–2148. 1 indexed citations
13.
Zhu, Yezi, Susan L. Dalrymple, Ilsa M. Coleman, et al.. (2020). Role of androgen receptor splice variant-7 (AR-V7) in prostate cancer resistance to 2nd-generation androgen receptor signaling inhibitors. Oncogene. 39(45). 6935–6949. 70 indexed citations
14.
Xu, Jiajia, Dongqing Li, Ching-Yun Hsu, et al.. (2020). Comparison of skeletal and soft tissue pericytes identifies CXCR4+ bone forming mural cells in human tissues. Bone Research. 8(1). 22–22. 30 indexed citations
15.
Iacobuzio–Donahue, Christine A., et al.. (2019). Cancer biology as revealed by the research autopsy. Nature reviews. Cancer. 19(12). 686–697. 46 indexed citations
16.
Davis, Gregory G., Gayle L. Winters, Billie Fyfe, et al.. (2018). Report and Recommendations of the Association of Pathology Chairs’ Autopsy Working Group. Academic Pathology. 5. 1532794116–1532794116. 15 indexed citations
17.
Crnković, Slaven, Bakytbek Egemnazarov, Rachel L. Damico, et al.. (2018). Disconnect between Fibrotic Response and Right Ventricular Dysfunction. American Journal of Respiratory and Critical Care Medicine. 199(12). 1550–1560. 31 indexed citations
18.
Hooper, Jody E., et al.. (2018). The Association of Departmental Quality Infrastructure and Positive Change. Academic Pathology. 5. 1531744881–1531744881. 2 indexed citations
19.
Janghorban, Mahnaz, Ellen M. Langer, Xiaoyan Wang, et al.. (2017). The tumor suppressor phosphatase PP2A-B56α regulates stemness and promotes the initiation of malignancies in a novel murine model. PLoS ONE. 12(11). e0188910–e0188910. 17 indexed citations
20.
Korngold, Elena, et al.. (2013). Suprarenal retroperitoneal liposarcoma with intracaval tumor thrombus: an imaging mimic of adrenocortical carcinoma. Clinical Imaging. 38(1). 75–77. 3 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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