Steven Yu

1.5k citations
30 papers · 1.2k · h-index 15

Impact in

Papers in

    • Cancer Cells and Metastasis 2
    • Colorectal Cancer Treatments and Studies 2
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3

Steven Yu

30 papers receiving 1.2k citations

Peers

Steven Yu
Comparison fields: 5 of 93
  • Developmental Neuroscience 87
  • Cellular and Molecular Neuroscience 356
  • Molecular Biology 693
  • Genetics 95
  • Immunology 169
Replace Jun Utsumi with:
Jun Utsumi Japan
Daniel J. Kim United States
Hartmut Halfter Germany
Michael Hedvat United States
Thierry Bordet France
Sophia Havaki Greece
Michael R. Douglas United Kingdom
A. Joseph Bloom United States
Tara J. Dillon United States
Elisabetta Mantuano United States
Steven Yu relative to Jun Utsumi Japan Jun Utsumi's profile →
Citations per field
00.5×1.5×2.3×
Jun Utsumi · 1×
Citations per year

Countries citing papers authored by Steven Yu

Since Specialization
Citations

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

Fields of papers citing papers by Steven Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Yu. 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 Steven Yu. The network helps show where Steven Yu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993363
2 2005177
3 1991164
4 2019106
5 201046
6 202333
7 202128
8 201628
9 201726
10
Development of an ICOSL and BAFF bispecific inhibitor AMG 570 for systemic lupus erythematosus treatment.
201926
11 201923
12 201322
13 201318
14 202316
15 201416
16 200814
17 199413
18 202411
19 201611
20 20169

About Steven Yu

Steven Yu is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Receptor Mechanisms and Signaling (2 papers), Cancer Cells and Metastasis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Bladder and Urothelial Cancer Treatments (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Developmental Neuroscience (87 citations), Cellular and Molecular Neuroscience (356 citations), Molecular Biology (693 citations), Genetics (95 citations) and Immunology (169 citations). Steven Yu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include William P. Hausdorff, R J Lefkowitz, Marc G. Caron, Jerzy Ostrowski, P. Campbell, R.J. Lefkowitz, B. Joy Snider, Ling Wei, David I. Gottlieb and Lin Cui. Their work appears in journals such as Frontiers in Public Health, Proceedings of the National Academy of Sciences, The AAPS Journal, Journal of Clinical Oncology and Clinical Colorectal 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.

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