D D Bigner

13 papers receiving 909 citations

Peers

D D Bigner
Comparison fields: 5 of 79
  • Molecular Biology 369
  • Radiology, Nuclear Medicine and Imaging 278
  • Genetics 262
  • Oncology 228
  • Pulmonary and Respiratory Medicine 148
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Ilkcan Cokgor United States
Marvin Barker United States
D D Bigner United States
Peter Black United States
S. Clifford Schold United States
T Shibata Switzerland
David C. Crafts United States
Ichiyo Shibahara Japan
An Claes Netherlands
Noriaki Sugawa Japan
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Countries citing papers authored by D D Bigner

Since Specialization
Citations

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

Fields of papers citing papers by D D Bigner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D D Bigner

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 177
2
Russell and Rubinstein's pathology of tumors of the nervous system
186
3
Improved targeting of an anti-epidermal growth factor receptor variant III monoclonal antibody in tumor xenografts after labeling using N-succinimidyl 5-iodo-3-pyridinecarboxylate.
54
4
Elevated DNA polymerase alpha, DNA polymerase beta, and DNA topoisomerase II in a melphalan-resistant rhabdomyosarcoma xenograft that is cross-resistant to nitrosoureas and topotecan.
41
5 92
6 9
7 31
8
Enhanced delivery of a monoclonal antibody F(ab')2 fragment to subcutaneous human glioma xenografts using local hyperthermia.
65
9 61
10
Enhanced tumor localization and in vivo stability of a monoclonal antibody radioiodinated using N-succinimidyl 3-(tri-n-butylstannyl)benzoate.
78
11 4
12 140
13 2

About D D Bigner

D D Bigner is a scholar working on Genetics, Cancer Research and Neurology, having authored 13 papers that have together received 940 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Radiopharmaceutical Chemistry and Applications (4 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Genetics (262 citations), Radiology, Nuclear Medicine and Imaging (278 citations) and Neurology (127 citations). D D Bigner has collaborated with scholars based in United States and Sweden. Frequent co-authors include Michael R. Zalutsky, Janet M. Bruner, Roger E. McLendon, Dorothy S. Russell, Sandra H. Bigner, Binish Rasheed, Rodney N. Wiltshire, Nicholas A. Vick, Dennis R. Groothuis and Gregory D. Lapin. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Journal of Neuropathology & Experimental Neurology and Current Opinion in Oncology.

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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