L Shively

1.5k citations
10 papers · 1.2k · h-index 10

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • RNA Interference and Gene Delivery 2
    • Advanced biosensing and bioanalysis techniques 1
    • Biochemical and Molecular Research 1
    • Monoclonal and Polyclonal Antibodies Research 6
    • Radiopharmaceutical Chemistry and Applications 4

L Shively

10 papers receiving 1.2k citations

Peers

L Shively
Comparison fields: 5 of 80
  • Radiology, Nuclear Medicine and Imaging 583
  • Immunology and Allergy 82
  • Molecular Biology 872
  • Oncology 239
  • Immunology 149
Replace Mitchell E. Reff with:
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Citations per field
00.5×1.5×
Mitchell E. Reff · 1×
Citations per year

Countries citing papers authored by L Shively

Since Specialization
Citations

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

Fields of papers citing papers by L Shively

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Minibody: A novel engineered anti-carcinoembryonic antigen antibody fragment (single-chain Fv-CH3) which exhibits rapid, high-level targeting of xenografts.
1996273
2 2007207
3 1984185
4 1988138
5 1988116
6
Cloning of the genes for T84.66, an antibody that has a high specificity and affinity for carcinoembryonic antigen, and expression of chimeric human/mouse T84.66 genes in myeloma and Chinese hamster ovary cells.
199086
7 198776
8 198370
9 200155
10 200335

About L Shively

L Shively is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Biochemistry, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Cancer-related Molecular Pathways (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (583 citations), Immunology and Allergy (82 citations), Molecular Biology (872 citations), Oncology (239 citations) and Immunology (149 citations). L Shively has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Arthur D. Riggs, John E. Shively, Michael Neumaier, Andrew Raubitschek, Anna M. Wu, Robert L. Simmer, Judith Singer–Sam, Yuji Hinoda, Lawrence E. Williams and Songhua Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, BioTechniques, Gene, Nucleic Acids Research and Journal of Immunological Methods.

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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