M. Li

708 citations
10 papers · 573 · h-index 5

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Epigenetics and DNA Methylation 1
    • Ion channel regulation and function 1
    • Corporate Finance and Governance 3
    • Auditing, Earnings Management, Governance 3

M. Li

9 papers receiving 569 citations

Peers

M. Li
Comparison fields: 5 of 64
  • Oncology 250
  • Cancer Research 82
  • Genetics 149
  • Molecular Biology 369
  • Immunology and Allergy 19
Replace Hannah Brinkmann with:
Hannah Brinkmann United Kingdom
Laura Ciarloni Switzerland
Sarantis Gagos Greece
Evelio Perez‐Albuerne United States
Ana Contente Germany
Kelsey Breslin Australia
Antonio Llombart Bosch Spain
De-Chang Wu China
Jennifer L. Brockman United States
Jeannie E. Maglione United States
M. Li relative to Hannah Brinkmann United Kingdom Hannah Brinkmann's profile →
Citations per field
00.5×2.7×
Hannah Brinkmann · 1×
Citations per year

Countries citing papers authored by M. Li

Since Specialization
Citations

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

Fields of papers citing papers by M. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside M. Li, 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 M. Li Line = papers co-authored together M. Li links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1997424
2
Apoptosis and remodeling of mammary gland tissue during involution proceeds through p53-independent pathways.
199673
3 200935
4 199731
5 20144
6 20253
7 20251
8 20241
9 20121
10 20250

About M. Li

M. Li is a scholar working on Molecular Biology, Accounting, Finance, Oncology and Economics and Econometrics, having authored 10 papers that have together received 573 indexed citations. Recurring topics across this work include Corporate Finance and Governance (3 papers), Auditing, Earnings Management, Governance (3 papers), Financial Markets and Investment Strategies (2 papers), Cell Adhesion Molecules Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Epigenetics and DNA Methylation (1 paper), NF-κB Signaling Pathways (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Oncology (250 citations), Cancer Research (82 citations), Genetics (149 citations), Molecular Biology (369 citations) and Immunology and Allergy (19 citations). M. Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Priscilla A. Furth, Lothar Hennighausen, Anthony Wynshaw‐Boris, Lisa Garrett, Kay‐Uwe Wagner, R.J. Wall, Luc St‐Onge, Kathrin Heermeier, U. Bar-Peled and Hema Raina. Their work appears in journals such as Value in Health, Emerging Markets Review, The Journal of Physiology, Research in International Business and Finance and Managerial and Decision Economics.

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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