Steve Lu
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in ⓘ
- Co-authors
- Robert A. Anders (2 shared papers)Julie E. Stein (1 shared paper)Hao Wang (1 shared paper)Douglas B. Johnson (2 shared papers)Clifford Hoyt (1 shared paper)Ludmila Danilova (1 shared paper)Drew M. Pardoll (1 shared paper)Kurt A. Schalper (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Disability and Rehabilitation (2 papers)Archives of Physical Medicine and Rehabilitation (2 papers)The Journal of Knee Surgery (1 paper)Medical Physics (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Steve Lu
21 papers receiving 871 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Behavioral Neuroscience 67
- Oncology 415
- Cancer Research 191
- Immunology 176
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by Steve Lu
This map shows the geographic impact of Steve Lu'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 Steve Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Lu more than expected).
Fields of papers citing papers by Steve Lu
This network shows the impact of papers produced by Steve Lu. 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 Steve Lu. The network helps show where Steve Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade Hit paper breakdown → | 2019 | 405 |
| 2 | 2019 | 110 | |
| 3 | 2015 | 96 | |
| 4 | 2005 | 74 | |
| 5 | 2007 | 68 | |
| 6 | 2021 | 45 | |
| 7 | 2004 | 17 | |
| 8 | 2019 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 1 |
About Steve Lu
Steve Lu is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Oral Surgery, Orthopedics and Sports Medicine and Cancer Research, having authored 23 papers that have together received 885 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Orthopedic Surgery and Rehabilitation (3 papers), Musculoskeletal pain and rehabilitation (3 papers), CRISPR and Genetic Engineering (2 papers), Shoulder Injury and Treatment (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Behavioral Neuroscience (67 citations), Oncology (415 citations), Cancer Research (191 citations), Immunology (176 citations) and Pulmonary and Respiratory Medicine (180 citations). Steve Lu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Robert A. Anders, Julie E. Stein, Hao Wang, Douglas B. Johnson, Clifford Hoyt, Ludmila Danilova, Drew M. Pardoll, Kurt A. Schalper, David L. Rimm and Janis M. Taube. Their work appears in journals such as Clinical Cancer Research, Disability and Rehabilitation, Archives of Physical Medicine and Rehabilitation, The Journal of Knee Surgery and Medical Physics.
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.