James M. Pace

1.7k citations
16 papers · 1.1k · h-index 14

Impact in

    • Bone and Dental Protein Studies
    • Osteoarthritis Treatment and Mechanisms
  • Genetics top 5%
    • Connective tissue disorders research
    • Mesenchymal stem cell research

Papers in

    • Connective tissue disorders research 11
    • TGF-β signaling in diseases 2
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2

James M. Pace

16 papers receiving 1.1k citations

Peers

James M. Pace
Comparison fields: 5 of 97
  • Rheumatology 373
  • Genetics 657
  • Immunology and Allergy 127
  • Genetics 127
  • Cancer Research 170
Replace Ling Jim Ng with:
Ling Jim Ng Hong Kong
David G. Stokes United States
Constantinos D. Constantinou United States
Yoshihiro Tamamura Japan
Olena Jacenko United States
Caroline N. Dealy United States
Jamie Fitzgerald United States
Daniela Später United States
Roberta Besio Italy
Alex Lichtler United States
James M. Pace relative to Ling Jim Ng Hong Kong Ling Jim Ng's profile →
Citations per field
00.5×1.5×1.9×
Ling Jim Ng · 1×
Citations per year

Countries citing papers authored by James M. Pace

Since Specialization
Citations

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

Fields of papers citing papers by James M. Pace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Pace. 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 James M. Pace. The network helps show where James M. Pace may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2006366
2 2004223
3 200399
4 200754
5 200551
6 200946
7 200846
8 200145
9 199739
10 200134
11 200230
12 200622
13 198618
14 200515
15 19977
16 19965

About James M. Pace

James M. Pace is a scholar working on Genetics, Molecular Biology, Rheumatology, Immunology and Allergy and Cell Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Connective tissue disorders research (11 papers), Bone and Dental Protein Studies (3 papers), Cell Adhesion Molecules Research (3 papers), TGF-β signaling in diseases (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Skin and Cellular Biology Research (2 papers), Cancer-related gene regulation (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Rheumatology (373 citations), Genetics (657 citations), Immunology and Allergy (127 citations), Genetics (127 citations) and Cancer Research (170 citations). James M. Pace has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Peter H. Byers, Ulrike Schwarze, Caterina Missero, Marcella Corrado, Robert A. Underwood, Russell J. Fernandes, Michael D. Sussman, Pei-Rong Wang, Kit M. Song and Kurt D. Hankenson. Their work appears in journals such as Human Mutation, Matrix Biology, Journal of Biological Chemistry, Journal of Medical Genetics and Developmental Dynamics.

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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