David V. Gold

2.4k total citations
67 papers, 2.0k citations indexed

About

David V. Gold is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David V. Gold has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 33 papers in Molecular Biology and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David V. Gold's work include Glycosylation and Glycoproteins Research (27 papers), Pancreatic and Hepatic Oncology Research (23 papers) and Radiopharmaceutical Chemistry and Applications (19 papers). David V. Gold is often cited by papers focused on Glycosylation and Glycoproteins Research (27 papers), Pancreatic and Hepatic Oncology Research (23 papers) and Radiopharmaceutical Chemistry and Applications (19 papers). David V. Gold collaborates with scholars based in United States and Germany. David V. Gold's co-authors include David M. Goldenberg, Thomas M. Cardillo, David E. Modrak, Robert M. Sharkey, Frederick W. Miller, Dan Shochat, J. D. Burton, Zhiliang Ying, Rhona Stein and Chien‐Hsing Chang and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

David V. Gold

66 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David V. Gold United States 29 936 883 637 431 245 67 2.0k
Miyako Abe United States 17 1.3k 1.4× 473 0.5× 624 1.0× 482 1.1× 116 0.5× 20 1.7k
Jian Ren United States 26 2.0k 2.2× 655 0.7× 416 0.7× 578 1.3× 78 0.3× 33 2.5k
Rémi Fagard France 30 1.0k 1.1× 922 1.0× 236 0.4× 819 1.9× 247 1.0× 72 2.6k
Imayavaramban Lakshmanan United States 27 1.5k 1.6× 961 1.1× 199 0.3× 504 1.2× 128 0.5× 43 2.2k
Leia M. Smith United States 21 893 1.0× 830 0.9× 535 0.8× 416 1.0× 79 0.3× 31 1.9k
Claudine Rancourt Canada 33 2.2k 2.3× 1.0k 1.2× 208 0.3× 964 2.2× 138 0.6× 59 3.6k
M J Glennie United Kingdom 17 857 0.9× 578 0.7× 867 1.4× 764 1.8× 65 0.3× 25 2.2k
Nicolas Jonckheere France 26 1.2k 1.3× 706 0.8× 131 0.2× 329 0.8× 101 0.4× 55 1.8k
Hasan Rajabi United States 39 2.4k 2.6× 1.1k 1.3× 369 0.6× 720 1.7× 111 0.5× 67 3.2k
Sunil K. Chatterjee United States 22 788 0.8× 448 0.5× 362 0.6× 688 1.6× 61 0.2× 58 1.5k

Countries citing papers authored by David V. Gold

Since Specialization
Citations

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

Fields of papers citing papers by David V. Gold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David V. Gold. 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 David V. Gold. The network helps show where David V. Gold may publish in the future.

Co-authorship network of co-authors of David V. Gold

This figure shows the co-authorship network connecting the top 25 collaborators of David V. Gold. A scholar is included among the top collaborators of David V. Gold 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 David V. Gold. David V. Gold 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.
Thaker, Nikhil G., David V. Gold, Ellen Kim, et al.. (2024). The Evolving Role of Physician Informaticists in Oncology in the Era of Artificial Intelligence. 2(1). 11–15.
2.
Liu, Donglin, Chien‐Hsing Chang, David V. Gold, & David M. Goldenberg. (2015). Identification of PAM4 (clivatuzumab)-reactive epitope on MUC5AC: A promising biomarker and therapeutic target for pancreatic cancer. Oncotarget. 6(6). 4274–4285. 17 indexed citations
3.
Govindan, Serengulam V., Thomas M. Cardillo, Robert M. Sharkey, et al.. (2013). Milatuzumab–SN-38 Conjugates for the Treatment of CD74+ Cancers. Molecular Cancer Therapeutics. 12(6). 968–978. 107 indexed citations
4.
5.
6.
Chen, Xiaochuan, Chien‐Hsing Chang, Rhona Stein, et al.. (2012). Prevention of Acute Graft-versus-Host Disease in a Xenogeneic SCID Mouse Model by the Humanized Anti-CD74 Antagonistic Antibody Milatuzumab. Biology of Blood and Marrow Transplantation. 19(1). 28–39. 13 indexed citations
7.
Ocean, Allyson J., Kenneth Pennington, Michael J. Guarino, et al.. (2012). Fractionated radioimmunotherapy with 90 Y‐clivatuzumab tetraxetan and low‐dose gemcitabine is active in advanced pancreatic cancer. Cancer. 118(22). 5497–5506. 64 indexed citations
8.
Gold, David V., Jochen Gaedcke, Β. Michael Ghadimi, et al.. (2012). PAM4 enzyme immunoassay alone and in combination with CA 19‐9 for the detection of pancreatic adenocarcinoma. Cancer. 119(3). 522–528. 33 indexed citations
9.
Ocean, Allyson J., Michael J. Guarino, Kenneth Pennington, et al.. (2012). Activity of fractionated radioimmunotherapy (RAIT) with 90Y clivatuzumab tetraxetan (90Y-hPAM4) plus gemcitabine (Gem) in advanced pancreatic cancer (APC): Final results from a two-part study.. Journal of Clinical Oncology. 30(4_suppl). 227–227. 1 indexed citations
10.
Goldenberg, David M., David Zagzag, Kerstin Heselmeyer‐Haddad, et al.. (2011). Horizontal transmission and retention of malignancy, as well as functional human genes, after spontaneous fusion of human glioblastoma and hamster host cells in vivo. International Journal of Cancer. 131(1). 49–58. 33 indexed citations
11.
Gold, David V., Rhona Stein, J. D. Burton, & David M. Goldenberg. (2010). Enhanced expression of CD74 in gastrointestinal cancers and benign tissues.. PubMed Central. 4(1). 1–12. 33 indexed citations
12.
Gold, David V., David M. Goldenberg, Habibe Karacay, et al.. (2008). A Novel Bispecific, Trivalent Antibody Construct for Targeting Pancreatic Carcinoma. Cancer Research. 68(12). 4819–4826. 53 indexed citations
13.
Gold, David V., et al.. (2003). Interferon-gamma upregulates MUC1 expression in haematopoietic and epithelial cancer cell lines, an effect associated with MUC1 mRNA induction. European Journal of Cancer. 39(3). 397–404. 20 indexed citations
14.
Gold, David V. & Thomas M. Cardillo. (2001). Monoclonal Antibody G47 Engineered to be Reactive with Colorectal Tumor Mucin. PubMed. 20(5-6). 343–350. 1 indexed citations
15.
Gold, David V., Thomas M. Cardillo, David M. Goldenberg, & Robert M. Sharkey. (2001). Localization of pancreatic cancer with radiolabeled monoclonal antibody PAM4. Critical Reviews in Oncology/Hematology. 39(1-2). 147–154. 33 indexed citations
16.
Gold, David V., et al.. (1997). Radioimmunotherapy of experimental pancreatic cancer with131I-labeled monoclonal antibody PAM4. International Journal of Cancer. 71(4). 660–667. 22 indexed citations
17.
Wong, George Y., et al.. (1995). Initial studies of monoclonal antibody PAM4 targeting to xenografted orthotopic pancreatic cancer.. PubMed. 55(23 Suppl). 5743s–5748s. 12 indexed citations
18.
Gold, David V., et al.. (1994). Characterization of monoclonal antibody PAM4 reactive with a pancreatic cancer mucin. International Journal of Cancer. 57(2). 204–210. 54 indexed citations
19.
Goldenberg, David M., et al.. (1992). Microheterogeneity of a purified IgG1, due to asymmetric fab glycosylation. Molecular Immunology. 29(6). 751–758. 19 indexed citations
20.
Gold, David V., et al.. (1988). Monoclonal Antibody B72.3 Reacts with a Core Region Structure of O-Linked Carbohydrates. Tumor Biology. 9(2-3). 137–144. 60 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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