James Deeds

3.4k total citations
24 papers, 2.5k citations indexed

About

James Deeds is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, James Deeds has authored 24 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in James Deeds's work include Bone health and treatments (6 papers), Fibroblast Growth Factor Research (4 papers) and melanin and skin pigmentation (4 papers). James Deeds is often cited by papers focused on Bone health and treatments (6 papers), Fibroblast Growth Factor Research (4 papers) and melanin and skin pigmentation (4 papers). James Deeds collaborates with scholars based in United States, France and Switzerland. James Deeds's co-authors include G V Segre, Kyongbum Lee, Lyn M. Duncan, Elizabeth A. Woolf, David R. Weaver, John Hunter, Jing Shao, Lisa Holmgren, R. Tepper and Andrew W. Shyjan 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

James Deeds

24 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Deeds United States 18 1.5k 675 410 292 256 24 2.5k
Masashi Isshiki Japan 17 2.7k 1.8× 1.2k 1.8× 148 0.4× 336 1.2× 207 0.8× 36 3.8k
P. V. Senior Australia 19 1.1k 0.8× 396 0.6× 524 1.3× 106 0.4× 55 0.2× 44 1.8k
Toshiaki Monkawa Japan 31 1.7k 1.1× 148 0.2× 112 0.3× 265 0.9× 116 0.5× 68 2.9k
Richard T. Waldron United States 32 2.0k 1.3× 599 0.9× 146 0.4× 797 2.7× 127 0.5× 63 3.2k
Susan B. Masters United States 20 2.2k 1.5× 310 0.5× 59 0.1× 267 0.9× 74 0.3× 28 3.2k
Chihiro Mogi Japan 31 1.7k 1.2× 267 0.4× 63 0.2× 331 1.1× 88 0.3× 61 2.4k
Tiansheng Shen United States 22 772 0.5× 292 0.4× 260 0.6× 73 0.3× 36 0.1× 39 1.5k
Leonidas Tsiokas United States 31 3.3k 2.2× 294 0.4× 787 1.9× 172 0.6× 87 0.3× 49 4.7k
Richard A. Shimkets United States 20 3.1k 2.1× 155 0.2× 220 0.5× 346 1.2× 20 0.1× 29 4.1k
Hideo Mogami Japan 24 937 0.6× 65 0.1× 379 0.9× 330 1.1× 200 0.8× 39 1.8k

Countries citing papers authored by James Deeds

Since Specialization
Citations

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

Fields of papers citing papers by James Deeds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Deeds

This figure shows the co-authorship network connecting the top 25 collaborators of James Deeds. A scholar is included among the top collaborators of James Deeds 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 James Deeds. James Deeds 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
1.
Ptacek, Jason, Felipe C. Geyer, James Deeds, et al.. (2020). 48 Advances in multiplexed ion beam imaging (MIBI) for immune profiling of the tumor microenvironment. SHILAP Revista de lepidopterología. A30.1–A30. 1 indexed citations
2.
Vicario, Rocío, Vicente Peg, Beatriz Morancho, et al.. (2015). Patterns of HER2 Gene Amplification and Response to Anti-HER2 Therapies. PLoS ONE. 10(6). e0129876–e0129876. 41 indexed citations
3.
Buonamici, Silvia, Beatriz Muñoz, Jing Yuan, et al.. (2010). Abstract 4290: The smoothened antagonist NVP-LDE225 targets stroma and cancer stem cells in primary human pancreatic tumor xenografts. Cancer Research. 70(8_Supplement). 4290–4290. 4 indexed citations
4.
Wiederschain, Dmitri, Lin Chen, Brett V. Johnson, et al.. (2007). Contribution of Polycomb Homologues Bmi-1 and Mel-18 to Medulloblastoma Pathogenesis. Molecular and Cellular Biology. 27(13). 4968–4979. 90 indexed citations
5.
Ross, Jeffrey S., David P. Schenkein, Iain J. Webb, et al.. (2004). Expression of prostate specific membrane antigen in the neo-vasculature of non-prostate cancers. Journal of Clinical Oncology. 22(14_suppl). 3110–3110. 3 indexed citations
6.
Ross, Jeffrey S., David P. Schenkein, Iain J. Webb, et al.. (2004). Expression of prostate specific membrane antigen in the neo-vasculature of non-prostate cancers. Journal of Clinical Oncology. 22(14_suppl). 3110–3110. 3 indexed citations
7.
8.
Berger, Allison, Astrid Baege, James Deeds, et al.. (2002). Insulin-Like Growth Factor-Binding Protein 3 Expression Increases during Immortalization of Cervical Keratinocytes by Human Papillomavirus Type 16 E6 and E7 Proteins. American Journal Of Pathology. 161(2). 603–610. 24 indexed citations
9.
Duncan, Lyn M., James Deeds, Michael Donovan, et al.. (2001). Melastatin Expression and Prognosis in Cutaneous Malignant Melanoma. Journal of Clinical Oncology. 19(2). 568–576. 165 indexed citations
10.
Stubdal, Hilde, Catherine Lynch, A Moriarty, et al.. (2000). Targeted Deletion of the tub Mouse Obesity Gene Reveals that tubby Is a Loss-of-Function Mutation. Molecular and Cellular Biology. 20(3). 878–882. 62 indexed citations
11.
Deeds, James, et al.. (2000). Patterns of melastatin mRNA expression in melanocytic tumors. Human Pathology. 31(11). 1346–1356. 76 indexed citations
12.
Topper, James N., Jiexing Cai, Yubin Qiu, et al.. (1997). Vascular MAD s: Two novel MAD -related genes selectively inducible by flow in human vascular endothelium. Proceedings of the National Academy of Sciences. 94(17). 9314–9319. 280 indexed citations
13.
Lee, Kyongbum, Beate Lanske, Andrew C. Karaplis, et al.. (1996). Parathyroid hormone-related peptide delays terminal differentiation of chondrocytes during endochondral bone development.. Endocrinology. 137(11). 5109–5118. 248 indexed citations
14.
Lee, K., Diane E. Brown, Pablo Ureña, et al.. (1996). Localization of parathyroid hormone/parathyroid hormone-related peptide receptor mRNA in kidney. American Journal of Physiology-Renal Physiology. 270(1). F186–F191. 64 indexed citations
15.
Segre, G V, James Deeds, & Kaechoong Lee. (1995). Expression of parathyroid hormone-related peptide and its receptor mRNAs during fetal development of rats.. PubMed. 21(1-3). 129–32. 5 indexed citations
16.
Lee, Kyongbum, James Deeds, & G V Segre. (1995). Expression of parathyroid hormone-related peptide and its receptor messenger ribonucleic acids during fetal development of rats.. Endocrinology. 136(2). 453–463. 282 indexed citations
17.
Weaver, David R., James Deeds, Kaechoong Lee, & Gino V. Segre. (1995). Localization of parathyroid hormone-related peptide (PTHrP) and PTH/PTHrP receptor mRNAs in rat brain. Molecular Brain Research. 28(2). 296–310. 69 indexed citations
18.
19.
Lee, K., et al.. (1993). In situ localization of PTH/PTHrP receptor mRNA in the bone of fetal and young rats. Bone. 14(3). 341–345. 67 indexed citations
20.
Stehle, Jörg H., et al.. (1992). Molecular cloning and expression of the cDNA for a novel A2-adenosine receptor subtype.. Molecular Endocrinology. 6(3). 384–393. 219 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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