G. Craig Hill

604 total citations
9 papers, 478 citations indexed

About

G. Craig Hill is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, G. Craig Hill has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Biomedical Engineering. Recurrent topics in G. Craig Hill's work include Radiopharmaceutical Chemistry and Applications (3 papers), Receptor Mechanisms and Signaling (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). G. Craig Hill is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), Receptor Mechanisms and Signaling (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). G. Craig Hill collaborates with scholars based in United States and Germany. G. Craig Hill's co-authors include Celeste A.S. Regino, Josh Duberman, Mikako Ogawa, Hisataka Kobayashi, Haley Simpson, Peter L. Choyke, Raphael Alford, Lisa Riffle, Paula Jacobs and Sibaprasad Bhattacharyya and has published in prestigious journals such as Brain Research, Neuroendocrinology and Academic Radiology.

In The Last Decade

G. Craig Hill

9 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Craig Hill United States	6	174	112	99	93	64	9	478
Daniel R. Draney United States	8	249 1.4×	79 0.7×	141 1.4×	95 1.0×	73 1.1×	13	477
Haley Simpson United States	6	157 0.9×	110 1.0×	105 1.1×	40 0.4×	58 0.9×	12	449
Josh Duberman United States	4	160 0.9×	110 1.0×	74 0.7×	38 0.4×	32 0.5×	7	392
Duanwen Shen United States	12	176 1.0×	167 1.5×	257 2.6×	77 0.8×	74 1.2×	18	590
Lisa Riffle United States	9	148 0.9×	103 0.9×	169 1.7×	90 1.0×	63 1.0×	16	478
Bangwen Xie United Kingdom	9	210 1.2×	38 0.3×	178 1.8×	124 1.3×	73 1.1×	11	497
Ray R. Zhang United States	11	352 2.0×	135 1.2×	160 1.6×	135 1.5×	66 1.0×	17	706
Gin-Chung Liu Taiwan	13	105 0.6×	157 1.4×	108 1.1×	181 1.9×	55 0.9×	24	528
Ethel J. Ngen United States	11	127 0.7×	114 1.0×	65 0.7×	109 1.2×	42 0.7×	15	346
Mara Saccomano Germany	9	364 2.1×	253 2.3×	222 2.2×	83 0.9×	92 1.4×	11	745

Countries citing papers authored by G. Craig Hill

Since Specialization

Citations

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

Fields of papers citing papers by G. Craig Hill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Craig Hill. 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 G. Craig Hill. The network helps show where G. Craig Hill may publish in the future.

Co-authorship network of co-authors of G. Craig Hill

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

All Works

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9 of 9 papers shown

1.

Wei, Ling, Elaine M. Jagoda, Karen Wong, et al.. (2019). Development of 89Zr-Avelumab for Clinical Studies. 60. 1060–1060. 2 indexed citations

2.

Rosen, Mark, Paul E. Kinahan, James F. Gimpel, et al.. (2016). Performance Observations of Scanner Qualification of NCI-Designated Cancer Centers: Results From the Centers of Quantitative Imaging Excellence (CQIE) Program. Academic Radiology. 24(2). 232–245. 7 indexed citations

3.

Bhattacharyya, Sibaprasad, Nimit L. Patel, Ling Wei, et al.. (2014). Synthesis and biological evaluation of panitumumab–IRDye800 conjugate as a fluorescence imaging probe for EGFR-expressing cancers. MedChemComm. 5(9). 1337–1337. 27 indexed citations

4.

Bhattacharyya, Sibaprasad, Karen Kurdziel, Ling Wei, et al.. (2013). Zirconium-89 labeled panitumumab: a potential immuno-PET probe for HER1-expressing carcinomas. Nuclear Medicine and Biology. 40(4). 451–457. 52 indexed citations

5.

Kurdziel, Karen, Joseph D. Kalen, Sibaprasad Bhattacharyya, et al.. (2012). Murine biodistribution and human dosimetry estimates of 111In DTPA- and 89Zr DFO-panitumumab. 53. 1513–1513. 1 indexed citations

6.

Alford, Raphael, Haley Simpson, Josh Duberman, et al.. (2009). Toxicity of Organic Fluorophores Used in Molecular Imaging: Literature Review. Molecular Imaging. 8(6). 341–54. 370 indexed citations

7.

Spessert, Rainer, et al.. (1998). Nitric Oxide Is Formed in a Subpopulation of Rat Pineal Cells and Acts as an Intercellular Messenger. Neuroendocrinology. 68(1). 57–63. 7 indexed citations

8.

Spessert, Rainer, G. Craig Hill, & Lutz Vollrath. (1995). In rat pinealocytes the cyclic GMP response to NO is regulated by Ca2+ and protein kinase C. Brain Research. 694(1-2). 207–212. 10 indexed citations

9.

Hill, G. Craig, et al.. (1994). Adrenoceptor stimulation induces nitric oxide formation in rat pinealocytes. Acta Neurobiologiae Experimentalis. 54. 2 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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