Stanford L. Peng

9.1k citations
113 papers · 6.6k indexed · 2 hit papers · h-index 38

Stanford L. Peng

106 papers receiving 6.4k citations

Hit Papers

Oocyte-Specific Deletion of Pten Causes Premature Activat...6182003202620102018250500750

Peers

Stanford L. Peng
Comparison fields: 5 of 126
  • Immunology 3.8k
  • Aging 187
  • Rheumatology 896
  • Reproductive Medicine 341
  • Cancer Research 501
Replace Takeshi Tokuhisa with:
Takeshi Tokuhisa Japan
Hong Soon Kang United States
Bruce Mosley United States
Stephanie S. Watowich United States
Athanasia D. Panopoulos United States
Valeria Facchinetti United States
Frank Köntgen Australia
Koichi Nakajima Japan
Irène Garcia Switzerland
Dhavalkumar D. Patel United States
Stanford L. Peng relative to Takeshi Tokuhisa Japan Takeshi Tokuhisa's profile →
Citations per field
00.5×4.3×
Takeshi Tokuhisa · 1×
Citations per year

Countries citing papers authored by Stanford L. Peng

Since Specialization
Citations

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

Fields of papers citing papers by Stanford L. Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stanford L. Peng. 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 Stanford L. Peng. The network helps show where Stanford L. Peng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20246
4 20237
5 20231
6 20210
7 201611
8
Oocyte-Specific Deletion of Pten Causes Premature Activation of the Primordial Follicle Poolbreakdown →
2008618
9 200825
10 200738
11 200628
12 200526
13 200593
14 200525
15 2004154
16 200495
17 200477
18 199879
19 199757
20 1996125

About Stanford L. Peng

Stanford L. Peng is a scholar working on Immunology, Rheumatology and Oncology, having authored 113 papers that have together received 6.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (44 papers), Immune Cell Function and Interaction (37 papers), Systemic Lupus Erythematosus Research (21 papers), FOXO transcription factor regulation (17 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Immunotherapy and Immune Responses (12 papers), Cancer Immunotherapy and Biomarkers (8 papers) and NF-κB Signaling Pathways (8 papers). The work is most often cited by research in Immunology (3.8k citations), Aging (187 citations) and Rheumatology (896 citations). Stanford L. Peng has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Laurie H. Glimcher, Susanne J. Szabo, Andrea Gerth, Jonathan D. Hron, Ling Lin, Brandon M. Sullivan, Joseph Craft, A. Helena Jonsson, Javid J. Moslehi and Xiaobo Wu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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