Xiaojun Lin

1.5k citations
50 papers · 1.0k · h-index 18

Impact in

Papers in

Xiaojun Lin

48 papers receiving 975 citations

Peers

Xiaojun Lin
Comparison fields: 5 of 129
  • Finance 215
  • Health, Toxicology and Mutagenesis 150
  • General Health Professions 272
  • Economics and Econometrics 269
  • Management Science and Operations Research 105
Replace Hari S. Iyer with:
Hari S. Iyer United States
Xiaoxu Xie China
Rajabali Daroudi Iran
Katherine T Lofgren United States
M. Tavakoli United Kingdom
Hosein Shabaninejad Iran
Matthias Hünger Germany
Patrick Aboagye‐Sarfo Australia
Zahidul Quayyum United Kingdom
Krishnan Srinivasan India
Xiaojun Lin relative to Hari S. Iyer United States Hari S. Iyer's profile →
Citations per field
00.5×11.7×
Hari S. Iyer · 1×
Citations per year

Countries citing papers authored by Xiaojun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012125
2 201598
3 201485
4 201872
5 201660
6 202043
7 202241
8 201739
9 201738
10 202337
11 202235
12 201132
13 201831
14 201230
15 201423
16 201723
17 201817
18 202117
19 201517
20 201816

About Xiaojun Lin

Xiaojun Lin is a scholar working on Economics and Econometrics, General Health Professions, Finance, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Healthcare Policy and Management (15 papers), Healthcare Systems and Reforms (10 papers), Global Health Care Issues (9 papers), Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (5 papers), Emergency and Acute Care Studies (4 papers), Healthcare cost, quality, practices (3 papers) and Primary Care and Health Outcomes (3 papers). The work is most often cited by research in Finance (215 citations), Health, Toxicology and Mutagenesis (150 citations), General Health Professions (272 citations), Economics and Econometrics (269 citations) and Management Science and Operations Research (105 citations). Xiaojun Lin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Miao Cai, Hongbing Tao, I‐Mei Lin, Sheng‐Yu Fan, Zhaohui Cheng, Haifeng Lin, Zhengmin Qian, Jay Pan, Echu Liu and Chang Xu. Their work appears in journals such as BMJ Open, The Lancet, International Journal of Public Health, BMC Pregnancy and Childbirth and BMC Public Health.

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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