Todd Milliron

792 citations
8 papers · 253 · h-index 5

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Cancer Treatment and Pharmacology
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Treatment and Pharmacology 3
    • Bone health and treatments 2
    • Peptidase Inhibition and Analysis 1
    • Multiple Myeloma Research and Treatments 4
    • Chronic Myeloid Leukemia Treatments 1

Todd Milliron

8 papers receiving 245 citations

Peers

Todd Milliron
Comparison fields: 5 of 45
  • Hematology 157
  • Oncology 175
  • Immunology 67
  • Dermatology 27
  • Genetics 18
Replace Αριστέα-Μαρία Παπανώτα with:
Αριστέα-Μαρία Παπανώτα Greece
Kiyoshi Okazuka Japan
Silja Mack Germany
Daigo Akahane Japan
Tania J. Curcio United States
Kaiyang Ding China
A. Groenewegen Netherlands
Chantiya Chanswangphuwana Thailand
Vishala T. Neppalli United States
Jeeyeon Baik United States
Todd Milliron relative to Αριστέα-Μαρία Παπανώτα Greece Αριστέα-Μαρία Παπανώτα's profile →
Citations per field
00.5×7.7×
Αριστέα-Μαρία Παπανώτα · 1×
Citations per year

Countries citing papers authored by Todd Milliron

Since Specialization
Citations

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

Fields of papers citing papers by Todd Milliron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2017146
2 201343
3 201439
4 201211
5 202110
6 20192
7
Clinical inquiries. Does chocolate have cardiovascular benefits?
20101
8 20131

About Todd Milliron

Todd Milliron is a scholar working on Oncology, Hematology, Orthopedics and Sports Medicine, Molecular Biology and Genetics, having authored 8 papers that have together received 253 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Bone health and treatments (2 papers), Bone and Joint Diseases (2 papers), Peptidase Inhibition and Analysis (1 paper), Oral and gingival health research (1 paper), Pain Mechanisms and Treatments (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (157 citations), Oncology (175 citations), Immunology (67 citations), Dermatology (27 citations) and Genetics (18 citations). Todd Milliron has collaborated with scholars based in United States and Italy. Frequent co-authors include Ashraf Badros, Olga Goloubeva, Aaron P. Rapoport, Sunita Philip, Mehmet H. Kocoglu, Ning Ma, Elizabeth Hyjek, Zeba N. Singh, Ahmet Doǧan and Cameron Dell. Their work appears in journals such as Blood, Cancer, Frontiers in Oncology, Supportive Care in Cancer and Clinical Lymphoma Myeloma & Leukemia.

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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