Lily Lin

81 papers receiving 2.7k citations

Peers

Lily Lin
Comparison fields: 5 of 149
  • Biochemistry 1.3k
  • Management of Technology and Innovation 596
  • Hematology 534
  • Critical Care and Intensive Care Medicine 191
  • Marketing 176
Replace Steven A. Anderson with:
Steven A. Anderson United States
Dana Huskens Netherlands
Bei Hu China
Hiroshi Ohta Japan
Johan Erik Wallin Sweden
Eric Claassen Netherlands
Moon Jung Kim South Korea
Zhi Chen China
Wenjun Wang China
Shane J O'Neill Ireland
Lily Lin relative to Steven A. Anderson United States Steven A. Anderson's profile →
Citations per field
00.5×20×40×60×88×
Steven A. Anderson · 1×
Citations per year

Countries citing papers authored by Lily Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lily Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015165
2 1998157
3 2004153
4 2005150
5 2011134
6 2006127
7 2005119
8 1999118
9 2005109
10 2009102
11 2011102
12 200085
13 200081
14 200981
15 200479
16 199865
17 200465
18 199958
19 200854
20 200748

About Lily Lin

Lily Lin is a scholar working on Biochemistry, Management Science and Operations Research, Software, Hematology and Management of Technology and Innovation, having authored 84 papers that have together received 2.9k indexed citations. Recurring topics across this work include Blood transfusion and management (24 papers), Multi-Criteria Decision Making (11 papers), Software Engineering Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Software Reliability and Analysis Research (6 papers), Software Engineering Techniques and Practices (6 papers), Blood donation and transfusion practices (5 papers) and Consumer Behavior in Brand Consumption and Identification (4 papers). The work is most often cited by research in Biochemistry (1.3k citations), Management of Technology and Innovation (596 citations), Hematology (534 citations), Critical Care and Intensive Care Medicine (191 citations) and Marketing (176 citations). Lily Lin has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Laurence Corash, Johannes Irsch, Kent W. Dupuis, Darren W. Dahl, George D. Cimino, Peyton Metzel, Robin Ritchie, Katherine M. White, Huey-Ming Lee and Folke Knutson. Their work appears in journals such as Transfusion, Blood, Vox Sanguinis, Seminars in Hematology and Expert Systems with Applications.

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