Danielle Li

24 papers receiving 765 citations

Peers

Danielle Li
Comparison fields: 5 of 99
  • Statistics, Probability and Uncertainty 185
  • Management of Technology and Innovation 117
  • Economics and Econometrics 348
  • Accounting 101
  • Safety Research 61
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Natalia Zinovyeva Finland
Michele Pezzoni France
Ina Ganguli United States
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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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018163
2 2015144
3 2017131
4 2017109
5 201974
6 202030
7 202319
8
Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules
201618
9 201716
10 202212
11 202111
12
School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders
201511
13 20249
14
Information, Bias, and Eciency in Expert Evaluation: Evidence from the NIH
20129
15 20207
16 20226
17
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
18 20185
19 20205
20 20194

About Danielle Li

Danielle Li is a scholar working on Economics and Econometrics, Accounting, Management of Technology and Innovation, Statistics, Probability and Uncertainty and Public Health, Environmental and Occupational Health, having authored 25 papers that have together received 798 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), scientometrics and bibliometrics research (4 papers), Pharmaceutical industry and healthcare (3 papers), Health and Medical Research Impacts (3 papers), School Choice and Performance (3 papers) and Experimental Behavioral Economics Studies (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (185 citations), Management of Technology and Innovation (117 citations), Economics and Econometrics (348 citations), Accounting (101 citations) and Safety Research (61 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, Lauren Cohen and Umit G. Gurun. Their work appears in journals such as Science, The Quarterly Journal of Economics, Management Science, American Economic Journal Applied Economics and The Review of Economic Studies.

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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