Christopher D. Major

1.3k citations
12 papers · 1.1k · h-index 10

Impact in

    • Wound Healing and Treatments
    • TGF-β signaling in diseases
    • Metabolism, Diabetes, and Cancer
    • Connective Tissue Growth Factor Research

Papers in

Christopher D. Major

12 papers receiving 1.1k citations

Peers

Christopher D. Major
Comparison fields: 5 of 86
  • Rehabilitation 62
  • Molecular Biology 557
  • Oncology 174
  • Radiology, Nuclear Medicine and Imaging 148
  • Hematology 72
Replace Kazunori Nakagawa with:
Kazunori Nakagawa Japan
Yukio Tsurumi United States
Jean‐Michel Foidart Belgium
J B Weiss United Kingdom
Claire Squiban France
Justin B. Maxhimer United States
Irene Krukovets United States
Mary C. Drinane United States
Marcel Vermeij Netherlands
Noëlynn Oliver United States
Christopher D. Major relative to Kazunori Nakagawa Japan Kazunori Nakagawa's profile →
Citations per field
00.5×2×3.3×
Kazunori Nakagawa · 1×
Citations per year

Countries citing papers authored by Christopher D. Major

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Major

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004366
2 2002257
3 2003152
4 200394
5 199480
6 199247
7 200143
8 199335
9 199313
10 199410
11 20208
12 20218

About Christopher D. Major

Christopher D. Major is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Rehabilitation, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes and associated disorders (2 papers), TGF-β signaling in diseases (2 papers), Diet, Metabolism, and Disease (2 papers), Diabetes Management and Research (2 papers), Cancer Cells and Metastasis (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Rehabilitation (62 citations), Molecular Biology (557 citations), Oncology (174 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Hematology (72 citations). Christopher D. Major has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Anita B. Roberts, Stacey DaCosta Byfield, Nicholas J. Laping, Bryan A. Wolf, Robert J. Konrad, Angelo J. Russo, Makiko Fujii, Kathleen Corey Flanders, Anastasia L. Sowers and Mario A. Anzano. Their work appears in journals such as Biochemistry, American Journal Of Pathology, British Journal of Haematology, Molecular and Cellular Endocrinology and Molecular Pharmacology.

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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