Daniela Modena

47 papers receiving 1.0k citations

Peers

Daniela Modena
Comparison fields: 5 of 89
  • Biotechnology 183
  • Immunology 233
  • Molecular Biology 698
  • Applied Microbiology and Biotechnology 12
  • Oncology 145
Replace Afshin Namdar with:
Afshin Namdar Canada
Douglas Grant Osborne United States
Claudia Scotti Italy
Vitaly Igorevich Pozdeev Germany
Monica Loi Italy
Carole Zanin France
Xiaofei Yu United States
Halime Kalkavan Germany
Hui Fang China
J.R. Wands United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Modena

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Modena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Modena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Modena Line = papers co-authored together Daniela Modena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005294
2 201197
3 201454
4 198645
5 198644
6 201943
7
Delivery of saporin to human B-cell lymphoma using bispecific antibody: targeting via CD22 but not CD19, CD37, or immunoglobulin results in efficient killing.
199340
8 199140
9 198634
10 198031
11
Initial experience in treating human lymphoma with a combination of bispecific antibody and saporin.
199225
12 199324
13 201924
14 198222
15 200221
16 199519
17 201418
18 199517
19 200317
20 201616

About Daniela Modena

Daniela Modena is a scholar working on Biotechnology, Immunology, Molecular Biology, Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (10 papers), Transgenic Plants and Applications (7 papers), Heat shock proteins research (7 papers), Protein Structure and Dynamics (6 papers), Amino Acid Enzymes and Metabolism (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Polyamine Metabolism and Applications (5 papers) and Peptidase Inhibition and Analysis (5 papers). The work is most often cited by research in Biotechnology (183 citations), Immunology (233 citations), Molecular Biology (698 citations), Applied Microbiology and Biotechnology (12 citations) and Oncology (145 citations). Daniela Modena has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Gianluca Fossati, Paolo Mascagni, Charles Anthony Dinarello, Leonid L. Reznikov, Flavio Leoni, Gianni Gromo, Julius Marmur, Giulia Porro, Pietro Pozzi and Paolo Pagani. Their work appears in journals such as Cancer Immunology Immunotherapy, Molecular Medicine, Biochemical and Biophysical Research Communications, Physics in Medicine and Biology and Carcinogenesis.

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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