Michael Slifker

3.2k citations
54 papers · 2.0k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

Michael Slifker

54 papers receiving 2.0k citations

Peers

Michael Slifker
Comparison fields: 5 of 108
  • Cancer Research 355
  • Oncology 478
  • Immunology 361
  • Molecular Biology 872
  • Genetics 311
Replace Farhat L. Khanim with:
Farhat L. Khanim United Kingdom
Mahrukh K. Ganapathi United States
Jonathan Lopez France
Dov Shiffman United States
Hideyuki Miyoshi Japan
Naiara Beraza United Kingdom
Gaétan Mayer United States
Hisanobu Ogata Japan
Bonne M. Thompson United States
Wenya Huang Taiwan
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Citations per field
00.5×2.8×
Farhat L. Khanim · 1×
Citations per year

Countries citing papers authored by Michael Slifker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Slifker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017232
2 2010205
3 2014198
4 2011128
5 2011108
6 200889
7 201986
8 201377
9 201251
10 200451
11 201049
12 201745
13 201144
14 201743
15 201143
16 201941
17 201136
18 201233
19 201332
20 201430

About Michael Slifker

Michael Slifker is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Cancer Genomics and Diagnostics (8 papers), Estrogen and related hormone effects (5 papers), interferon and immune responses (4 papers), Folate and B Vitamins Research (4 papers), Cancer Risks and Factors (4 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (355 citations), Oncology (478 citations), Immunology (361 citations), Molecular Biology (872 citations) and Genetics (311 citations). Michael Slifker has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Siddharth Balachandran, Suraj Peri, Eric A. Ariazi, Eric A. Ross, V. Craig Jordan, Heather E. Cunliffe, Smitha Yerrum, Joan Font-Burgada, David Rossell and Trey Ideker. Their work appears in journals such as Cancer Research, PLoS ONE, Oncotarget, International Journal of Molecular Sciences and Cancer Prevention Research.

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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