Lori Shepherd

1.0k citations
28 papers · 556 · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

    • Gene expression and cancer classification 7
    • Molecular Biology Techniques and Applications 5
    • Bioinformatics and Genomic Networks 3
    • Genomic variations and chromosomal abnormalities 4
    • Genetic Associations and Epidemiology 3

Lori Shepherd

27 papers receiving 549 citations

Peers

Lori Shepherd
Comparison fields: 5 of 95
  • Cancer Research 103
  • Molecular Biology 237
  • Cell Biology 55
  • Immunology 67
  • Hematology 32
Replace Martin N. McCall with:
Martin N. McCall Australia
Olivier Alibert France
Kang Fan United States
Rang Xu China
Alka Mahale United States
Laurence Lasorsa France
Usha Gutti India
Ruo-Pan Huang United States
Joseph Andrews Canada
Conghui Wang China
Lori Shepherd relative to Martin N. McCall Australia Martin N. McCall's profile →
Citations per field
00.5×5×10×15.3×
Martin N. McCall · 1×
Citations per year

Countries citing papers authored by Lori Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Lori Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020185
2 201550
3 198949
4 199139
5 201232
6 201532
7 201228
8 201023
9 201521
10 201919
11 201317
12 201014
13 20116
14 20116
15 20116
16 20206
17 20166
18 20134
19 20113
20 20102

About Lori Shepherd

Lori Shepherd is a scholar working on Molecular Biology, Genetics, Cancer Research, Statistics and Probability and Surgery, having authored 28 papers that have together received 556 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Molecular Biology Techniques and Applications (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Statistical Methods in Clinical Trials (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetic Associations and Epidemiology (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (103 citations), Molecular Biology (237 citations), Cell Biology (55 citations), Immunology (67 citations) and Hematology (32 citations). Lori Shepherd has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Martin Morgan, Michael I. Love, Charlotte Soneson, Lisa K. Johnson, Rob Patro, N. Tessa Pierce‐Ward, Peter F. Hickey, Arnold G. Coran, Norma J. Nowak and Jeffrey C. Miecznikowski. Their work appears in journals such as PLoS Computational Biology, Genes Chromosomes and Cancer, Journal of Clinical Oncology, British Journal of Cancer and Journal of Statistical Software.

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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