Susan M. Goodman
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies 58
- Systemic Lupus Erythematosus Research 30
- Surgery top 2%
- Total Knee Arthroplasty Outcomes 50
- Orthopedic Infections and Treatments 48
- Orthopaedic implants and arthroplasty 42
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research 15
- Immunology top 5%
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- Bone and Joint Diseases 11
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- Cardiac, Anesthesia and Surgical Outcomes 8
- Co-authors
- Mark P. FiggieLisa A. MandlVivian P. BykerkMichael L. ParksAnne R. BassA.M.E. NouriG S PanayiLaura T. Donlin
- Cited by
- RheumatologySurgeryHematology
- Journals
- Nature Communications (2 papers)Annals of Internal Medicine (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Susan M. Goodman
147 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Rheumatology 1.3k
- Surgery 1.3k
- Hematology 281
- Immunology 459
- Orthopedics and Sports Medicine 153
Countries citing papers authored by Susan M. Goodman
This map shows the geographic impact of Susan M. Goodman'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 Susan M. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan M. Goodman more than expected).
Fields of papers citing papers by Susan M. Goodman
This network shows the impact of papers produced by Susan M. Goodman. 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 Susan M. Goodman. The network helps show where Susan M. Goodman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan M. Goodman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 54 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | Drivers of heterogeneity in synovial fibroblasts in rheumatoid arthritisbreakdown → | 2023 | 86 |
| 12 | 2022 | 23 | |
| 13 | The Effect of Perioperative Biologic Disease-Modifying Anti-Rheumatic Drugs on the Risk of Postoperative Complications | 2022 | 4 |
| 14 | 2021 | 5 | |
| 15 | 2020 | 25 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 27 | |
| 19 | 2019 | 20 | |
| 20 | 2018 | 240 |
About Susan M. Goodman
Susan M. Goodman is a scholar working on Rheumatology, Surgery and Hematology, having authored 158 papers that have together received 3.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (58 papers), Total Knee Arthroplasty Outcomes (50 papers), Orthopedic Infections and Treatments (48 papers), Orthopaedic implants and arthroplasty (42 papers), Systemic Lupus Erythematosus Research (30 papers), Autoimmune and Inflammatory Disorders Research (15 papers), Bone and Joint Diseases (11 papers) and Cardiac, Anesthesia and Surgical Outcomes (8 papers). The work is most often cited by research in Rheumatology (1.3k citations), Surgery (1.3k citations) and Hematology (281 citations). Susan M. Goodman has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Mark P. Figgie, Lisa A. Mandl, Vivian P. Bykerk, Michael L. Parks, Anne R. Bass, A.M.E. Nouri, G S Panayi, Laura T. Donlin, Linda Russell and Bella Mehta. Their work appears in journals such as Nature Communications, Annals of Internal Medicine and Nature Immunology.
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.