Christopher E. Randolph

16 papers receiving 1k citations

Christopher E. Randolph's Hit Papers

A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1 2006 · 764 citations
7640+6+13Years since publication250500750

Peers

Christopher E. Randolph
Comparison fields: 5 of 59
  • Hematology 677
  • Oncology 82
  • Nutrition and Dietetics 39
  • Molecular Biology 182
  • Cancer Research 37
Replace Shohei Mizuno with:
Shohei Mizuno Japan
Cristina Panuzzo Italy
Lara M. Cullen Australia
Yang Jo Chung United States
F. Messa Italy
Eleana Harmel-Laws United States
Karin Bents Germany
Lorenza A. D’Alessandro Germany
Valentina Rosso Italy
Martina Almáši Czechia
Christopher E. Randolph relative to Shohei Mizuno Japan Shohei Mizuno's profile →
Citations per field
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Shohei Mizuno · 1×
Citations per year

Countries citing papers authored by Christopher E. Randolph

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Randolph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Randolph. 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 Christopher E. Randolph. The network helps show where Christopher E. Randolph may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1
Hit paper breakdown →
2006764
2 2021109
3 202053
4 202228
5 202217
6 202115
7 202013
8 202111
9 200510
10 202110
11 20208
12 20246
13 20243
14 20253
15 20222
16 20242
17 20250
18 20250
19 20260

About Christopher E. Randolph

Christopher E. Randolph is a scholar working on Animal Science and Zoology, Nutrition and Dietetics, Molecular Biology, Cancer Research and Agronomy and Crop Science, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gut microbiota and health (6 papers), Infant Nutrition and Health (4 papers), Animal Nutrition and Physiology (4 papers), Bone Metabolism and Diseases (3 papers), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Hematology (677 citations), Oncology (82 citations), Nutrition and Dietetics (39 citations), Molecular Biology (182 citations) and Cancer Research (37 citations). Christopher E. Randolph has collaborated with scholars based in United States, Egypt and China. Frequent co-authors include Laxmi Yeruva, Ahmed A. Elolimy, Stephanie D. Byrum, Charity L. Washam, Tanya LeRoith, Anne Kidd Bowlin, Stewart L. MacLeod, Ashok Kumar Sharma, Katrin Schröder and Oxana P. Lazarenko. Their work appears in journals such as Frontiers in Immunology, Blood, mSystems, Frontiers in Microbiology and Frontiers in Nutrition.

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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