Danielle Li

23 papers receiving 733 citations

Peers

Danielle Li
Comparison fields: 5 of 99
  • Statistics, Probability and Uncertainty 180
  • Management of Technology and Innovation 111
  • Economics and Econometrics 327
  • Accounting 98
  • Safety Research 56
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Michele Pezzoni France
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Citations per year

Countries citing papers authored by Danielle Li

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Danielle Li, 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 Danielle Li Line = papers co-authored together Danielle Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018158
2 2015139
3 2017130
4 2017104
5 201971
6 202030
7 202319
8 201716
9
Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules
201615
10 202211
11 202111
12
School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders
201511
13
Information, Bias, and Eciency in Expert Evaluation: Evidence from the NIH
20128
14 20247
15 20206
16
Cheaper by the Dozen: Using Sibling Discounts at Catholic Schools to Estimate the Price Elasticity of Private School Attendance. NBER Working Paper No. 15461.
20095
17 20194
18 20204
19 20183
20 20203

About Danielle Li

Danielle Li is a scholar working on Economics and Econometrics, Accounting, Management of Technology and Innovation, Pharmacology and Education, having authored 24 papers that have together received 761 indexed citations. Recurring topics across this work include Innovation Policy and R&D (7 papers), Pharmaceutical Economics and Policy (7 papers), Intellectual Property and Patents (4 papers), Pharmaceutical industry and healthcare (3 papers), School Choice and Performance (3 papers), scientometrics and bibliometrics research (3 papers), Experimental Behavioral Economics Studies (2 papers) and Economic Policies and Impacts (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (180 citations), Management of Technology and Innovation (111 citations), Economics and Econometrics (327 citations), Accounting (98 citations) and Safety Research (56 citations). Danielle Li has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Pierre Azoulay, Bhaven N. Sampat, Leila Agha, Joshua Graff Zivin, Kelly Shue, Alan Benson, Dimitris Papanikolaou, Joshua Krieger, Lindsey Raymond and Umit G. Gurun. Their work appears in journals such as Science, The Review of Economic Studies, Management Science, The Quarterly Journal of Economics and American Economic Journal Applied Economics.

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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