W S Lane

8.6k total citations · 4 hit papers
53 papers, 7.3k citations indexed

About

W S Lane is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, W S Lane has authored 53 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 12 papers in Immunology and 8 papers in Oncology. Recurrent topics in W S Lane's work include RNA and protein synthesis mechanisms (7 papers), Signaling Pathways in Disease (7 papers) and RNA Research and Splicing (7 papers). W S Lane is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Signaling Pathways in Disease (7 papers) and RNA Research and Splicing (7 papers). W S Lane collaborates with scholars based in United States, United Kingdom and Canada. W S Lane's co-authors include Michael Roth, Alan M. Zahler, Roman M. Chicz, Dean R. Madden, Don C. Wiley, Theodore S. Jardetzky, Robert G. Urban, Jack L. Strominger, Joan C. Gorga and Dario A.A. Vignali and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

W S Lane

53 papers receiving 7.2k citations

Hit Papers

Specificity and promiscuity among naturally processed pep... 1991 2026 2002 2014 1993 1991 1992 1999 200 400 600

Peers

W S Lane
Comparison fields: 5 of 132
  • Molecular Biology 4.9k
  • Immunology 2.1k
  • Oncology 793
  • Cell Biology 626
  • Cancer Research 550
Replace Jun–ichi Fujisawa with:
Jun–ichi Fujisawa Japan
Michael Kiefer United States
Michael Doyle United States
Donald Dowbenko United States
Ulla Mandel Denmark
Frank R. Masiarz United States
D Baltimore United States
François Rougeon France
Heidi Stuhlmann United States
Claudio Schneider Italy
Jun–ichi Fujisawa Japan View profile →
Citations per field, relative to W S Lane
W S Lane · 1×
Citations per year, relative to W S Lane
W S Lane · 1×

Countries citing papers authored by W S Lane

Since Specialization
Citations

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

Fields of papers citing papers by W S Lane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W S Lane

This figure shows the co-authorship network connecting the top 25 collaborators of W S Lane. A scholar is included among the top collaborators of W S Lane 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 W S Lane. W S Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 29
2
ABRF ESRG 2005 Study: Identification of Seven Modified Amino Acids by Edman Sequencing
4
3 112
4 7
5 171
6 39
7 25
8 172
9 148
10 273
11 42
12 18
13 75
14
Specificity and promiscuity among naturally processed peptides bound to HLA-DR alleles. breakdown →
742
15 65
16 96
17 208
18
Identification of self peptides bound to purified HLA-B27 breakdown →
731
19 153
20 20

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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