L M Boxer

713 citations
15 papers · 624 · h-index 14

Impact in

    • RNA Research and Splicing
    • Muscle Physiology and Disorders
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • RNA Interference and Gene Delivery
    • Ubiquitin and proteasome pathways

Papers in

L M Boxer

15 papers receiving 616 citations

Peers

L M Boxer
Comparison fields: 5 of 64
  • Molecular Biology 462
  • Cancer Research 65
  • Genetics 43
  • Immunology 88
  • Oncology 88
Replace T. Nagase with:
T. Nagase Japan
Luca Rastelli United States
Pamela M. Carroll United States
Andreas Kalmes Germany
Hwai Wen Chang United States
Norinobu Watanabe Japan
Jung-Soon Mo South Korea
Veronica H. Kang United States
William Nikovits United States
Ser Sue Ng Netherlands
L M Boxer relative to T. Nagase Japan T. Nagase's profile →
Citations per field
00.5×1.7×
T. Nagase · 1×
Citations per year

Countries citing papers authored by L M Boxer

Since Specialization
Citations

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

Fields of papers citing papers by L M Boxer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L M Boxer. 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 L M Boxer. The network helps show where L M Boxer may publish in the future.

Co-authors

The 24 scholars most cited alongside L M Boxer, 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 L M Boxer Line = papers co-authored together L M Boxer links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1989158
2 199996
3 198777
4
Molecular mechanisms of transcriptional control of bcl-2 and c-myc in follicular and transformed lymphoma.
200139
5 200831
6 198930
7 200530
8 199429
9 199528
10 198822
11 200620
12 200719
13
The expression of p53 tumor suppressor gene in breast cancer cells is down-regulated by cytokine oncostatin M.
199919
14 199414
15 201112

About L M Boxer

L M Boxer is a scholar working on Molecular Biology, Immunology, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 15 papers that have together received 624 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), NF-κB Signaling Pathways (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cancer-related Molecular Pathways (2 papers), Cancer-related gene regulation (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Molecular Biology (462 citations), Cancer Research (65 citations), Genetics (43 citations), Immunology (88 citations) and Oncology (88 citations). L M Boxer has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Larry Kedes, Ron Prywes, Robert G. Roeder, T. Miwa, D.S. Latchman, Hong Duan, Caroline A. Heckman, Magdalena Arcinas, Thomas A. Gustafson and D A Withers. Their work appears in journals such as Molecular and Cellular Biology, Oncogene, Journal of Biological Chemistry, Nucleic Acids Research and 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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