Jeffrey S. Lin

1.7k citations
29 papers · 1.2k indexed · h-index 15
Topics
Bacterial Identification and Susceptibility Testing (8 papers)Metabolomics and Mass Spectrometry Studies (5 papers)Genomics and Phylogenetic Studies (5 papers)

In The Last Decade

Jeffrey S. Lin

26 papers receiving 1.1k citations

Peers

Jeffrey S. Lin
Comparison fields: 5 of 112
  • Molecular Biology 549
  • Clinical Biochemistry 326
  • Oncology 291
  • Biomedical Engineering 177
  • Genetics 154
Replace Stephan Michalik with:
Stephan Michalik Germany
T. McKenna United Kingdom
Gintaras Deikus United States
Ruchi Pandey United States
Gérémy Clair United States
Marcel Kwiatkowski Germany
Alexander Krah Singapore
Jc Cortay France
Jean‐Philippe Charrier France
Joseph J. Batenburg Netherlands
Jeffrey S. Lin relative to Stephan Michalik Germany Stephan Michalik's profile →
Citations per field
00.5×6.3×
Stephan Michalik · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey S. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Lin. A scholar is included among the top collaborators of Jeffrey S. Lin 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 Jeffrey S. Lin. Jeffrey S. Lin 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
#WorkIndexed citations
1 0
2 0
3 5
4 5
5 51
6 22
7 24
8 0
9 30
10 56
11
chemical and biological Weapons: current concepts for Future Defenses
8
12 96
13 24
14
Mass Spectral Analysis of Biological Agents Using the BioTOF Mass Spectrometer
2
15
Bioinformatics-based strategies for rapid microorganism identification by mass spectrometry
13
16 419
17 14
18 75
19 83
20
Computer-assisted interpretation of mass spectra
4

About Jeffrey S. Lin

Jeffrey S. Lin is a scholar working on Clinical Biochemistry, Spectroscopy and Urology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Clinical Biochemistry (326 citations), Molecular Medicine (123 citations) and Oncology (291 citations). Jeffrey S. Lin has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Plamen A. Demirev, Gang Lu, Amy L. Davidson, Florante A. Quiocho, Jue Chen, Andrew B. Feldman, Fernando J. Pineda, Catherine Fenselau, Miquel D. Antoine and Paul J. Kowalski. Their work appears in journals such as Molecular Cell, Analytical Chemistry and Journal of Virology.

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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