Xinming An

4 papers receiving 22 citations

Peers

Xinming An
Comparison fields: 5 of 26
  • Aging 2
  • Neuropsychology and Physiological Psychology 1
  • Behavioral Neuroscience 2
  • Critical Care and Intensive Care Medicine 2
  • Pediatrics, Perinatology and Child Health 6
Replace Sandra Machlitt‐Northen with:
Sandra Machlitt‐Northen United Kingdom
Kyung E. Rhee United States
Katie House United States
Susan Jackman United States
Anisha R. Chada United States
Yuan Qiao China
Sridevi Seetharam India
Andrea Grzybowski United States
Christina L. Sancken United States
Haneil Larson Dsouza India
Xinming An relative to Sandra Machlitt‐Northen United Kingdom Sandra Machlitt‐Northen's profile →
Citations per field
00.5×1.5×1.8×
Sandra Machlitt‐Northen · 1×
Citations per year

Countries citing papers authored by Xinming An

Since Specialization
Citations

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

Fields of papers citing papers by Xinming An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 202315
2 20234
3 20202
4 20251
5 20230
6 20250
7 20240
8 20190

About Xinming An

Xinming An is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Epidemiology, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 22 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Esophageal and GI Pathology (2 papers), Traumatic Brain Injury Research (2 papers), Opioid Use Disorder Treatment (1 paper), Hemodynamic Monitoring and Therapy (1 paper), Enhanced Recovery After Surgery (1 paper), Identity, Memory, and Therapy (1 paper) and Posttraumatic Stress Disorder Research (1 paper). The work is most often cited by research in Aging (2 citations), Neuropsychology and Physiological Psychology (1 citation), Behavioral Neuroscience (2 citations), Critical Care and Intensive Care Medicine (2 citations) and Pediatrics, Perinatology and Child Health (6 citations). Xinming An has collaborated with scholars based in United States and Germany. Frequent co-authors include Samuel A. McLean, Jennifer S. Stevens, Anthony S. Zannas, Nathaniel G. Harnett, Karestan C. Koenen, David R. Rubinow, Kerry J. Ressler, Elisabeth B. Binder, Sarah D. Linnstaedt and Yi‐Ju Li. Their work appears in journals such as Biological Psychiatry, Regional Anesthesia & Pain Medicine, Journal of Cardiothoracic and Vascular Anesthesia, Journal of Clinical Anesthesia and Psychological Medicine.

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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