Michael J. Smith

2.4k citations
28 papers · 638 · h-index 12

Impact in

Papers in

    • DNA Repair Mechanisms 4
    • CRISPR and Genetic Engineering 4
    • Photosynthetic Processes and Mechanisms 2
    • Breast Cancer Treatment Studies 2
    • Carcinogens and Genotoxicity Assessment 2

Michael J. Smith

28 papers receiving 626 citations

Peers

Michael J. Smith
Comparison fields: 5 of 82
  • Endocrinology 44
  • Immunology 143
  • Hematology 74
  • Aging 9
  • Nephrology 27
Replace Tamiko Nakajima with:
Tamiko Nakajima Japan
Ryan Peters United States
Anika Lange Germany
Jenson Lim United Kingdom
Csaba I. Tímár Hungary
Holly M. Jacobs United States
Jette Brandt Denmark
Ewoud B. Compeer United Kingdom
Jean‐Jacques Candelier France
André Darveau Canada
Michael J. Smith relative to Tamiko Nakajima Japan Tamiko Nakajima's profile →
Citations per field
00.5×3.9×
Tamiko Nakajima · 1×
Citations per year

Countries citing papers authored by Michael J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995182
2 1999113
3 199947
4 202041
5 199939
6 201935
7 201434
8 201819
9 201717
10 201915
11 200614
12 201213
13 200611
14 200511
15 19958
16 20187
17
Full Spectrum Crashworthiness Criteria for Rotorcraft
20117
18 20165
19 20164
20 20054

About Michael J. Smith

Michael J. Smith is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pathology and Forensic Medicine, having authored 28 papers that have together received 638 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), Bacterial Genetics and Biotechnology (3 papers), Microtubule and mitosis dynamics (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Breast Cancer Treatment Studies (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Endocrinology (44 citations), Immunology (143 citations), Hematology (74 citations), Aging (9 citations) and Nephrology (27 citations). Michael J. Smith has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christine S. Rinder, Henry M. Rinder, Jayne B. Tracey, Scott A. Minnich, Brian R. Smith, Virginia L. Miller, Glenn M. Young, Jane C.K. Fitch, Scott A. Rollins and Rodney Rothstein. Their work appears in journals such as Journal of Clinical Oncology, Genes & Development, European Journal of Cancer, Journal of Bacteriology and Molecular Cell.

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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