Lori Shepherd

950 citations
25 papers · 473 · h-index 11

Impact in

Papers in

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

Lori Shepherd

24 papers receiving 470 citations

Peers

Lori Shepherd
Comparison fields: 5 of 83
  • Cancer Research 117
  • Molecular Biology 254
  • Immunology 75
  • Cell Biology 56
  • Oncology 87
Replace Oleg V. Grinchuk with:
Oleg V. Grinchuk Singapore
Julia Feichtinger Austria
Princy Parsana United States
Anne Senabouth Australia
Maxime Pinard Canada
Fatimah A. Nahhas United States
Senthilkumar Cinghu United States
Vigdis Nygaard Norway
Xiaowei Chen China
Luke Marsden United Kingdom
Lori Shepherd relative to Oleg V. Grinchuk Singapore Oleg V. Grinchuk's profile →
Citations per field
00.5×1.6×
Oleg V. Grinchuk · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020170
2 201550
3 199137
4 201532
5 201229
6 201226
7 201023
8 201520
9 201919
10 201317
11 201014
12 20116
13 20116
14 20166
15 20115
16 20134
17
How to create imagineering employees.
19962
18 20101
19 20251
20 20091

About Lori Shepherd

Lori Shepherd is a scholar working on Molecular Biology, Genetics, Cancer Research, Reproductive Medicine and Pathology and Forensic Medicine, having authored 25 papers that have together received 473 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Cancer Genomics and Diagnostics (6 papers), Molecular Biology Techniques and Applications (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Bioinformatics and Genomic Networks (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (117 citations), Molecular Biology (254 citations), Immunology (75 citations), Cell Biology (56 citations) and Oncology (87 citations). Lori Shepherd has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Charlotte Soneson, Michael I. Love, Martin Morgan, Peter F. Hickey, Lisa K. Johnson, Rob Patro, N. Tessa Pierce‐Ward, Norma J. Nowak, Jeffrey C. Miecznikowski and Daniel P. Gaile. Their work appears in journals such as British Journal of Cancer, Journal of Clinical Oncology, PLoS Computational Biology, Genes Chromosomes and Cancer and International Journal of Biological Sciences.

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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