Michael D. Kessler

7.7k citations
18 papers · 520 · h-index 9

Impact in

  • Genetics top 10%
    • Genetic Syndromes and Imprinting
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering

Papers in

    • Single-cell and spatial transcriptomics 2
    • Protein Degradation and Inhibitors 2
    • Genomics and Phylogenetic Studies 2
    • RNA Research and Splicing 2
    • Genetic diversity and population structure 4
    • Forensic and Genetic Research 2

Michael D. Kessler

15 papers receiving 515 citations

Peers

Michael D. Kessler
Comparison fields: 5 of 91
  • Genetics 201
  • Molecular Biology 317
  • Cancer Research 57
  • Aging 4
  • Oncology 54
Replace Giovanni Marco Dall’Olio with:
Giovanni Marco Dall’Olio Spain
Dongsheng Lu China
Ricardo A. Verdugo Chile
Fouad Zakharia United States
Haiyi Lou China
П. М. Пономаренко Russia
H. Xiao United States
Tangliang Li China
Raphael Sung United States
Alexander H. Farley United States
Michael D. Kessler relative to Giovanni Marco Dall’Olio Spain Giovanni Marco Dall’Olio's profile →
Citations per field
00.5×3.7×
Giovanni Marco Dall’Olio · 1×
Citations per year

Countries citing papers authored by Michael D. Kessler

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Kessler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013272
2 201885
3 201738
4 201837
5 202115
6 201415
7 202014
8 201914
9 202213
10 20205
11 20185
12 20242
13
Imaging EGFR phosphorylation in intact human pancreatic carcinoma cells.
20132
14 20152
15 20221
16 20250
17 20230
18 20250

About Michael D. Kessler

Michael D. Kessler is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 18 papers that have together received 520 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Forensic and Genetic Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Protein Degradation and Inhibitors (2 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (2 papers), Immune Cell Function and Interaction (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Genetics (201 citations), Molecular Biology (317 citations), Cancer Research (57 citations), Aging (4 citations) and Oncology (54 citations). Michael D. Kessler has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Qiang Song, Andrew D. Smith, Fang Fang, Jun Zhou, Jianghan Qu, Meng Zhou, Tyler H. Garvin, Benjamin E. Decato, Matthew D. Dean and Timothy D. O’Connor. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, Cancer Research, Frontiers in Cardiovascular Medicine and Genome Medicine.

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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