S.L. Schreiber

2.8k citations
19 papers · 2.1k indexed · 1 hit paper · h-index 15
Topics
Signaling Pathways in Disease (15 papers)Peptidase Inhibition and Analysis (8 papers)Toxin Mechanisms and Immunotoxins (6 papers)
Partner nations
United States

In The Last Decade

S.L. Schreiber

19 papers receiving 2.1k citations

Hit Papers

Two distinct signal transmission pathways in T lymphocyte...19902026200220141990100200300400500

Peers

S.L. Schreiber
Comparison fields: 5 of 100
  • Molecular Biology 1.7k
  • Immunology 463
  • Oncology 420
  • Plant Science 244
  • Organic Chemistry 164
Replace Stuart L. Schreiber with:
Stuart L. Schreiber United States
J A Barbosa United States
Patrick Legembre France
Martin Spitaler Austria
James C. Stroud United States
C. Shirley Lin United States
Patricia G. McCaffrey United States
Robert A. Zivin United States
Robert C. Boltz United States
Rajam S. Mani Canada
S.L. Schreiber relative to Stuart L. Schreiber United States Stuart L. Schreiber's profile →
Citations per field
00.5×3.8×
Stuart L. Schreiber · 1×
Citations per year

Countries citing papers authored by S.L. Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.L. Schreiber

This figure shows the co-authorship network connecting the top 25 collaborators of S.L. Schreiber. A scholar is included among the top collaborators of S.L. Schreiber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S.L. Schreiber. S.L. Schreiber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 43
3 69
4 24
5 433
6 62
7 75
8 111
9 128
10 66
11 78
12 207
13 62
14 34
15 3
16 1
17
The interaction of CD4 with HIV-1 gp120.
6
18
Two distinct signal transmission pathways in T lymphocytes are inhibited by complexes formed between an immunophilin and either FK506 or rapamycin.breakdown →
585
19 160

About S.L. Schreiber

S.L. Schreiber is a scholar working on Immunology, Oncology and Molecular Biology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (15 papers), Peptidase Inhibition and Analysis (8 papers) and Toxin Mechanisms and Immunotoxins (6 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Transplantation (60 citations) and Immunology (463 citations). S.L. Schreiber has collaborated with scholars based in United States. Frequent co-authors include Eric J. Brown, Robert F. Standaert, Xiao-Feng Zheng, Jie Chen, Barbara E. Bierer, Gerald R. Crabtree, Petri S. Mattila, L A Herzenberg, Steven J. Burakoff and S Luan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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

Rankless by CCL
2026