Lynne Lederman

455 citations
37 papers · 399 · h-index 9

Impact in

    • Chronic Myeloid Leukemia Treatments
    • Virus-based gene therapy research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 4
    • Molecular Biology Techniques and Applications 3
    • Glycosylation and Glycoproteins Research 2
    • Cancer-related gene regulation 2
    • Monoclonal and Polyclonal Antibodies Research 4

Lynne Lederman

36 papers receiving 376 citations

Peers

Lynne Lederman
Comparison fields: 5 of 114
  • Hematology 49
  • Genetics 36
  • Cell Biology 54
  • Molecular Biology 195
  • Biophysics 16
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Citations per field
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Citations per year

Countries citing papers authored by Lynne Lederman

Since Specialization
Citations

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

Fields of papers citing papers by Lynne Lederman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lynne Lederman, 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 Lynne Lederman Line = papers co-authored together Lynne Lederman 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 2007133
2 198362
3 198759
4 198730
5 201623
6 199114
7 198213
8 198110
9 19619
10 19966
11 20065
12 20073
13 19913
14 19853
15 20182
16 20082
17 20042
18 20092
19
Gastric Cancer: Local and Global Burden
20171
20 20071

About Lynne Lederman

Lynne Lederman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Ecology and Cell Biology, having authored 37 papers that have together received 399 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), Molecular Biology Techniques and Applications (3 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related gene regulation (2 papers), MicroRNA in disease regulation (2 papers) and Palliative Care and End-of-Life Issues (2 papers). The work is most often cited by research in Hematology (49 citations), Genetics (36 citations), Cell Biology (54 citations), Molecular Biology (195 citations) and Biophysics (16 citations). Lynne Lederman has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include David E. James, Paul F. Pilch, Harry W. Snyder, Peter Besmer, Peter J. Bergold, E Zuckerman, W. D. Hardy, Ted A. James, Jamie Kelly and Allen E. Silverstone. Their work appears in journals such as BioTechniques, Journal of Virology, Molecular and Cellular Biochemistry, Analytical Biochemistry and Review of Scientific Instruments.

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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