Steve Lu

8.6k citations
23 papers · 932 · 1 hit paper · h-index 10

Impact in

Papers in

Steve Lu

21 papers receiving 912 citations

Steve Lu's Hit Papers

Comparison of Biomarker Modalities for Predicting Response to PD-1/PD-L1 Checkpoint Blockade 2019 · 425 citations
4250+2+4Years since publication100200300400

Peers

Steve Lu
Comparison fields: 5 of 85
  • Behavioral Neuroscience 59
  • Oncology 370
  • Cancer Research 160
  • Immunology 149
  • Biological Psychiatry 12
Replace Jessica Pastoriza with:
Jessica Pastoriza United States
Charissa Kim United States
Marion Butler Ireland
Melissa Hadley United States
Péter Nagyőszi Hungary
Michael S. Cuoco United States
Koichi Murakami Japan
S. Lindsey Davis United States
Frederike Dijk Netherlands
Simone Serio Italy
Steve Lu relative to Jessica Pastoriza United States Jessica Pastoriza's profile →
Citations per field
00.5×1.5×1.8×
Jessica Pastoriza · 1×
Citations per year

Countries citing papers authored by Steve Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Steve Lu Line = papers co-authored together Steve Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2019425
2 2019112
3 2015102
4 200577
5 200771
6 202149
7 200418
8 201912
9 201912
10 20229
11 20229
12 20238
13 20246
14 20235
15 20234
16 20203
17 20213
18 20233
19 20192
20 20251

About Steve Lu

Steve Lu is a scholar working on Surgery, Molecular Biology, Oncology, Pharmacology and Plant Science, having authored 23 papers that have together received 932 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), DNA Repair Mechanisms (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Medical Imaging and Analysis (2 papers), Musculoskeletal pain and rehabilitation (2 papers), CRISPR and Genetic Engineering (2 papers), Stress Responses and Cortisol (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Behavioral Neuroscience (59 citations), Oncology (370 citations), Cancer Research (160 citations), Immunology (149 citations) and Biological Psychiatry (12 citations). Steve Lu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Robert A. Anders, Douglas B. Johnson, Janis M. Taube, Jeffrey A. Sosman, Julie E. Stein, Clifford Hoyt, Ludmila Danilova, Drew M. Pardoll, Hao Wang and David L. Rimm. Their work appears in journals such as Clinical Cancer Research, Archives of Physical Medicine and Rehabilitation, Disability and Rehabilitation, CHEST Journal and Journal for ImmunoTherapy of Cancer.

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.

Explore authors with similar magnitude of impact