Steven Yu

1.5k citations
30 papers · 1.1k indexed · h-index 14

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 3
    • Cytokine Signaling Pathways and Interactions 2
    • Cancer Cells and Metastasis 2
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2

Steven Yu

30 papers receiving 1.1k citations

Peers

Steven Yu
Comparison fields: 5 of 97
  • Developmental Neuroscience 84
  • Cellular and Molecular Neuroscience 340
  • Molecular Biology 680
  • Genetics 96
  • Immunology 182
Replace Jun Utsumi with:
Jun Utsumi Japan
Daniel J. Kim United States
Michael Hedvat United States
Hironao Nakayama Japan
Sophia Havaki Greece
Hartmut Halfter Germany
A. Joseph Bloom United States
Michael R. Douglas United Kingdom
Elisabetta Mantuano United States
Thierry Bordet France
Steven Yu relative to Jun Utsumi Japan Jun Utsumi's profile →
Citations per field
00.5×1.5×1.8×
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
#Work
1 20242
2 20246
3 202313
4 20235
5 202327
6 202126
7 201921
8 201724
9 20169
10 201611
11 201627
12
Advancements in Recurrent and Metastatic Cervical Cancer
20156
13 20154
14 201416
15 201322
16 201317
17 201044
18 200813
19 2005163
20 199413

About Steven Yu

Steven Yu is a scholar working on Oncology, Immunology, Cancer Research, Developmental Neuroscience and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cancer Cells and Metastasis (2 papers), Receptor Mechanisms and Signaling (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Developmental Neuroscience (84 citations), Cellular and Molecular Neuroscience (340 citations), Molecular Biology (680 citations), Genetics (96 citations) and Immunology (182 citations). Steven Yu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include William P. Hausdorff, R J Lefkowitz, Jerzy Ostrowski, Marc G. Caron, R.J. Lefkowitz, P. Campbell, Eugene M. Johnson, B. Joy Snider, Larry D. Adams and Dennis W. Choi. Their work appears in journals such as Clinical Colorectal Cancer, Journal of Clinical Oncology, Frontiers in Public Health, The AAPS Journal and Proceedings of the National Academy of Sciences.

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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