Daniel G. Mackensen

610 total citations
9 papers, 495 citations indexed

About

Daniel G. Mackensen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel G. Mackensen has authored 9 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel G. Mackensen's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Daniel G. Mackensen is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Radiopharmaceutical Chemistry and Applications (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Daniel G. Mackensen collaborates with scholars based in United States. Daniel G. Mackensen's co-authors include Rakesh K. Jain, Laurence T. Baxter, Hui Zhu, William F. Butler, Steve Briggs, James J. Starling, Louis N. Jungheim, Damon L. Meyer, Stephen D. Mikolajczyk and Kevin L. Law and has published in prestigious journals such as Cancer, International Journal of Radiation Oncology*Biology*Physics and Journal of Immunotherapy.

In The Last Decade

Daniel G. Mackensen

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel G. Mackensen United States 8 296 277 142 74 45 9 495
G. R. Boniface Australia 10 158 0.5× 182 0.7× 239 1.7× 49 0.7× 31 0.7× 23 476
RG Melton United Kingdom 12 368 1.2× 414 1.5× 190 1.3× 60 0.8× 24 0.5× 17 748
Cheng‐Pang Hsu United States 9 99 0.3× 396 1.4× 197 1.4× 151 2.0× 25 0.6× 9 574
Howard J. Glenn United States 12 252 0.9× 143 0.5× 106 0.7× 44 0.6× 55 1.2× 37 505
Sudhir Shah United States 15 250 0.8× 227 0.8× 147 1.0× 118 1.6× 28 0.6× 31 689
Forrest E. Gaul United States 8 303 1.0× 163 0.6× 157 1.1× 43 0.6× 18 0.4× 8 502
Jürgen Schanzer Switzerland 7 479 1.6× 468 1.7× 162 1.1× 141 1.9× 8 0.2× 8 716
Earl F. Albone United States 17 180 0.6× 294 1.1× 241 1.7× 94 1.3× 19 0.4× 35 729
Linda Simpson‐Herren United States 15 91 0.3× 324 1.2× 288 2.0× 59 0.8× 17 0.4× 29 794
A. Aquino Italy 14 61 0.2× 238 0.9× 265 1.9× 149 2.0× 11 0.2× 27 529

Countries citing papers authored by Daniel G. Mackensen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Mackensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Mackensen

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

All Works

9 of 9 papers shown
1.
Gridley, Daila S., Daniel G. Mackensen, James B. Slater, Michael F. Moyers, & James M. Slater. (1995). Effects of Proton Irradiation on Radiolabeled Monoclonal Antibody Uptake in Human Colon Tumor Xenografts. Journal of Immunotherapy. 17(4). 229–237. 7 indexed citations
2.
Mayer, Rulon, et al.. (1995). Prediction of tumor response to experimental radioimmunotherapy with 90Y in nude mice. International Journal of Radiation Oncology*Biology*Physics. 33(2). 417–427. 7 indexed citations
3.
Baxter, Laurence T., Hui Zhu, Daniel G. Mackensen, William F. Butler, & Rakesh K. Jain. (1995). Biodistribution of monoclonal antibodies: scale-up from mouse to human using a physiologically based pharmacokinetic model.. PubMed. 55(20). 4611–22. 151 indexed citations
4.
Dillehay, Larry E., Rulon Mayer, Shiyu Song, et al.. (1994). Use of bremsstrahlung radiation to monitor y-90 tumor and whole body activities during experimental radioimmunotherapy in mice. Cancer. 73(S3). 945–950. 8 indexed citations
6.
Baxter, Laurence T., Hui Zhu, Daniel G. Mackensen, & Rakesh K. Jain. (1994). Physiologically based pharmacokinetic model for specific and nonspecific monoclonal antibodies and fragments in normal tissues and human tumor xenografts in nude mice.. PubMed. 54(6). 1517–28. 221 indexed citations
7.
Meyer, Damon L., Louis N. Jungheim, Kevin L. Law, et al.. (1993). Site-specific prodrug activation by antibody-beta-lactamase conjugates: regression and long-term growth inhibition of human colon carcinoma xenograft models.. PubMed. 53(17). 3956–63. 49 indexed citations
8.
Mackensen, Daniel G., et al.. (1992). Reversal of Vinca alkaloid resistance by anti-P-glycoprotein monoclonal antibody HYB-241 in a human tumor xenograft.. PubMed. 52(7). 1810–6. 41 indexed citations
9.
Wilson, Barry S., et al.. (1990). Radiolocalization of human small cell lung cancer and antigen-positive normal tissues using monoclonal antibody LS2D617.. PubMed. 50(10). 3124–30. 7 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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