D J FitzGerald

2.0k citations
28 papers · 1.7k indexed · h-index 21
Topics
Toxin Mechanisms and Immunotoxins (25 papers)Transgenic Plants and Applications (18 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)

In The Last Decade

D J FitzGerald

28 papers receiving 1.7k citations

Peers

D J FitzGerald
Comparison fields: 5 of 81
  • Immunology 1.1k
  • Biotechnology 687
  • Molecular Biology 671
  • Radiology, Nuclear Medicine and Imaging 658
  • Oncology 313
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Countries citing papers authored by D J FitzGerald

Since Specialization
Citations

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

Fields of papers citing papers by D J FitzGerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D J FitzGerald

This figure shows the co-authorship network connecting the top 25 collaborators of D J FitzGerald. A scholar is included among the top collaborators of D J FitzGerald 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 J FitzGerald. D J FitzGerald 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
#WorkIndexed citations
1
Cytotoxic activity of disulfide-stabilized recombinant immunotoxin RFB4(dsFv)-PE38 (BL22) toward fresh malignant cells from patients with B-cell leukemias.
74
2
Clinical applications of immunotoxins. Introduction.
6
3 31
4
Treatment of acute myelocytic leukemia with interleukin-6 Pseudomonas exotoxin fusion protein in a rat leukemia model.
14
5 29
6
Antitumor effects of B3-PE and B3-LysPE40 in a nude mouse model of human breast cancer and the evaluation of B3-PE toxicity in monkeys.
28
7 15
8 13
9 9
10
Expression of the interleukin 6 receptor and interleukin 6 in prostate carcinoma cells.
135
11 35
12 81
13 124
14 65
15 66
16 22
17 61
18 129
19 120
20 147

About D J FitzGerald

D J FitzGerald is a scholar working on Biotechnology, Immunology and Microbiology, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (25 papers), Transgenic Plants and Applications (18 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Biotechnology (687 citations), Immunology (1.1k citations) and Radiology, Nuclear Medicine and Imaging (658 citations). D J FitzGerald has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Ira Pastan, Ira Pastan, Vijay K. Chaudhary, Sankar Adhya, Mark C. Willingham, Janendra K. Batra, V K Chaudhary, Lee H. Pai, Ulrich Brinkmann and Haya Lorberboum‐Galski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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