Michael J. Campbell

26.2k citations
83 papers · 8.3k indexed · 4 hit papers · h-index 25
Topics
Congenital Heart Disease Studies (19 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Cardiac Valve Diseases and Treatments (8 papers)

In The Last Decade

Michael J. Campbell

75 papers receiving 8.0k citations

Hit Papers

PANTHER: A Library of Protein Families and Subfamilies In...1998202620072016200319991998202150010001.5k2.0k

Peers

Michael J. Campbell
Comparison fields: 5 of 168
  • Molecular Biology 5.7k
  • Genetics 965
  • Immunology 799
  • Plant Science 502
  • Cancer Research 495
Replace Martin Eisenacher with:
Martin Eisenacher Germany
Jörg D. Hoheisel Germany
Thomas D.Y. Chung United States
Kenji Mizuguchi Japan
Yasset Pérez‐Riverol United Kingdom
Katerina Nastou Greece
Alexander R. Pico United States
Eugene Kolker United States
Tao Fang China
Andrew Keller United States
Michael J. Campbell relative to Martin Eisenacher Germany Martin Eisenacher's profile →
Citations per field
00.5×1.7×
Martin Eisenacher · 1×
Citations per year

Countries citing papers authored by Michael J. Campbell

Since Specialization
Citations

This map shows the geographic impact of Michael J. Campbell'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. Campbell 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. Campbell more than expected).

Fields of papers citing papers by Michael J. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Campbell. A scholar is included among the top collaborators of Michael J. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael J. Campbell. Michael J. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 6
4 1
5 2
6 0
7 14
8 17
9 0
10 6
11 109
12 1
13 3
14 36
15 4
16 4
17 8
18 35
19 4
20 80

About Michael J. Campbell

Michael J. Campbell is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 83 papers that have together received 8.3k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (19 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Cardiac Valve Diseases and Treatments (8 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Aging (67 citations) and Immunology (799 citations). Michael J. Campbell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Raymond J. Cho, Jason D. Hughes, Saeed Tavazoie, George M. Church, Paul D. Thomas, Huaiyu Mi, Anish Kejariwal, Apurva Narechania, Anushya Muruganujan and Ronald W. Davis. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and The Journal of Experimental 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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