Xiaohua Sheng

816 citations
30 papers · 637 · h-index 13

Impact in

Papers in

    • Dialysis and Renal Disease Management 2
    • Chronic Kidney Disease and Diabetes 2
    • Pneumonia and Respiratory Infections 4

Xiaohua Sheng

29 papers receiving 626 citations

Peers

Xiaohua Sheng
Comparison fields: 5 of 86
  • Microbiology 100
  • Nephrology 57
  • Epidemiology 227
  • Hematology 38
  • Endocrine and Autonomic Systems 22
Replace Erdal Taşkın with:
Erdal Taşkın Türkiye
Martin K. Kankam United States
Michael Riordan Ireland
Reza Salman Yazdi Iran
Judie Ann Howrylak United States
Anette Ericsson Sweden
Andréa Novais Moreno-Amaral Brazil
E Kattner Germany
Bu Kyung Kim South Korea
Hong Liang Zhu China
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Citations per field
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Erdal Taşkın · 1×
Citations per year

Countries citing papers authored by Xiaohua Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201288
2 201185
3 201273
4 201557
5 201747
6 200640
7 200738
8 202030
9 200528
10 200827
11 200525
12 201816
13 202213
14 200612
15 20189
16 20209
17 20259
18 20197
19 20175
20 20255

About Xiaohua Sheng

Xiaohua Sheng is a scholar working on Nephrology, Epidemiology, Microbiology, Emergency Medical Services and Neurology, having authored 30 papers that have together received 637 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Dialysis and Renal Disease Management (2 papers), Chronic Kidney Disease and Diabetes (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Microbiology (100 citations), Nephrology (57 citations), Epidemiology (227 citations), Hematology (38 citations) and Endocrine and Autonomic Systems (22 citations). Xiaohua Sheng has collaborated with scholars based in China, United States and France. Frequent co-authors include Robert L. Hopfer, Ranajit Chakraborty, Monica Bologa, Sanjay Gurunathan, Niansong Wang, Wenchang Zhang, Yuan Lin, Yan Sun, W. Abdullah Brooks and Hong Li. Their work appears in journals such as Vaccine, The Pediatric Infectious Disease Journal, Clinical and Vaccine Immunology, Emerging Microbes & Infections and Renal Failure.

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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