Mark J. Solloway

5.1k citations
23 papers · 2.4k indexed · h-index 20

Mark J. Solloway

23 papers receiving 2.4k citations

Peers

Mark J. Solloway
Comparison fields: 5 of 100
  • Molecular Biology 2.0k
  • Genetics 566
  • Cell Biology 285
  • Developmental Neuroscience 42
  • Aging 15
Replace Joaquím Grego‐Bessa with:
Joaquím Grego‐Bessa Spain
Sarah De Val United Kingdom
Benoı̂t Kanzler Germany
Jeong Kyo Yoon United States
Karin Schuster-Gossler Germany
Glenn E. Winnier United States
Christine Biben Australia
Ann Kuo United States
Kazuko Koshiba‐Takeuchi Japan
Cynthia A. Loomis United States
Mark J. Solloway relative to Joaquím Grego‐Bessa Spain Joaquím Grego‐Bessa's profile →
Citations per field
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Joaquím Grego‐Bessa · 1×
Citations per year

Countries citing papers authored by Mark J. Solloway

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Solloway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202120
2 202017
3 2015144
4 201267
5 201252
6 2011148
7 20111
8 2010173
9 200939
10 2009186
11 200857
12 200887
13 200620
14 2005171
15 200371
16 200255
17 2001174
18 1999277
19 1998293
20 1994262

About Mark J. Solloway

Mark J. Solloway is a scholar working on Immunology and Allergy, Molecular Biology, Genetics, Surgery and Rheumatology, having authored 23 papers that have together received 2.4k indexed citations. Recurring topics across this work include Congenital heart defects research (8 papers), Developmental Biology and Gene Regulation (5 papers), TGF-β signaling in diseases (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Cell Adhesion Molecules Research (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Genetics (566 citations), Cell Biology (285 citations), Developmental Neuroscience (42 citations) and Aging (15 citations). Mark J. Solloway has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Elizabeth J. Robertson, Andrew S. Peterson, Khanhky Phamluong, V. François, Brigid L.M. Hogan, Andrew T. Dudley, Karen M. Lyons, Elizabeth K. Bikoff, Ethan Bier and Jason O’Neill. Their work appears in journals such as Development, The Journal of Cell Biology, Developmental Biology, Genes & Development and PLoS ONE.

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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