Jeff Sperinde

1.5k citations
37 papers · 639 · h-index 15

Impact in

Papers in

    • HER2/EGFR in Cancer Research 33
    • Cancer Treatment and Pharmacology 6
    • Peptidase Inhibition and Analysis 3
    • Monoclonal and Polyclonal Antibodies Research 15
    • Radiopharmaceutical Chemistry and Applications 6

Jeff Sperinde

34 papers receiving 623 citations

Peers

Jeff Sperinde
Comparison fields: 5 of 54
  • Oncology 469
  • Radiology, Nuclear Medicine and Imaging 260
  • Immunology and Allergy 34
  • Cancer Research 71
  • Genetics 39
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Citations per field
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Citations per year

Countries citing papers authored by Jeff Sperinde

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Sperinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jeff Sperinde, 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 Jeff Sperinde Line = papers co-authored together Jeff Sperinde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011176
2 201962
3 201040
4 201335
5 201532
6 200931
7
Exosome nanovesicles displaying G protein-coupled receptors for drug discovery.
200731
8 201230
9 201429
10 201826
11 201525
12 201125
13 201120
14 201816
15 201014
16 20139
17 20179
18 20216
19 20073
20 20072

About Jeff Sperinde

Jeff Sperinde is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 37 papers that have together received 639 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (33 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Breast Cancer Treatment Studies (8 papers), Cancer Treatment and Pharmacology (6 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Advanced Breast Cancer Therapies (4 papers), Peptidase Inhibition and Analysis (3 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Oncology (469 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Immunology and Allergy (34 citations), Cancer Research (71 citations) and Genetics (39 citations). Jeff Sperinde has collaborated with scholars based in United States, Austria and Poland. Frequent co-authors include John Winslow, Michael Bates, Weidong Huang, Wolfgang J. Köstler, Jodi Weidler, Allan Lipton, Agnès Paquet, Kim Leitzel, Ritwik Ghosh and Archana Narasanna. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Clinical Cancer Research and The Oncologist.

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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