Michael D. Hoffman

53 papers receiving 2.2k citations

Peers

Michael D. Hoffman
Comparison fields: 5 of 134
  • Cancer Research 353
  • Pathology and Forensic Medicine 304
  • Biomaterials 155
  • Endocrinology, Diabetes and Metabolism 169
  • Genetics 292
Replace Gabriela Kania with:
Gabriela Kania Switzerland
Jie Shen China
Geneviève Bernard Canada
Yankel Gabet Israel
Yuan Zhu China
Robyn K. Fuchs United States
Baljit S. Moonga United States
Hendrik B. Sager Germany
Florina Moldovan Canada
Xiuqin Zhang China
Michael D. Hoffman relative to Gabriela Kania Switzerland Gabriela Kania's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael D. Hoffman

Since Specialization
Citations

This map shows the geographic impact of Michael D. Hoffman'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. Hoffman 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. Hoffman more than expected).

Fields of papers citing papers by Michael D. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael D. Hoffman, 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. Hoffman Line = papers co-authored together Michael D. Hoffman 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 2004141
2 2010138
3 2013128
4 2010121
5 1996114
6 2001103
7 2004101
8 2016100
9 198687
10 200472
11 202058
12 201555
13 200250
14 201850
15 201449
16 200548
17 201345
18 201744
19 200343
20 201642

About Michael D. Hoffman

Michael D. Hoffman is a scholar working on Molecular Biology, Surgery, Genetics, Spectroscopy and Cancer Research, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Mesenchymal stem cell research (4 papers), MicroRNA in disease regulation (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Cancer Research (353 citations), Pathology and Forensic Medicine (304 citations), Biomaterials (155 citations), Endocrinology, Diabetes and Metabolism (169 citations) and Genetics (292 citations). Michael D. Hoffman has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Danielle S. W. Benoit, Martha L. Slattery, Susan L. Neuhausen, Wade S. Samowitz, Clifford D. Wright, Juergen Kast, Roger K. Wolff, Daniel F. Pellatt, Steven C. Elbein and Bette J. Caan. Their work appears in journals such as Diabetes, Journal of Leukocyte Biology, Biochemical and Biophysical Research Communications, Biomaterials and Molecular & Cellular Proteomics.

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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