Qing Ma

12.3k citations
67 papers · 9.4k indexed · 3 hit papers · h-index 35

Impact in

Papers in

Qing Ma

65 papers receiving 9.2k citations

Hit Papers

Urine NGAL Predicts Severity of Acute Kidney Injury After Cardiac Surgery 2008 · 590 citations
590200320262010201850010001.5k

Peers

Qing Ma
Comparison fields: 5 of 118
  • Nephrology 7.7k
  • Critical Care and Intensive Care Medicine 2.5k
  • Transplantation 229
  • Emergency Medicine 825
  • Epidemiology 1.7k
Replace Jaya Mishra with:
Jaya Mishra India
Jay L. Koyner United States
James A. Tumlin United States
Sarah Faubel United States
Catherine L. Dent United States
Caitlin Kelly United States
Samir M. Parikh United States
Kai Singbartl United States
C. G. Schmidt Germany
Won Kon Han United States
Qing Ma relative to Jaya Mishra India Jaya Mishra's profile →
Citations per field
00.5×
Jaya Mishra · 1×
Citations per year

Countries citing papers authored by Qing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 202411
4 20230
5 20216
6 202110
7 2020122
8 20209
9 201732
10
UPLC-MS/MS Method for Determination of Uric Acid and Creatinine in Serum and Urine of Hyperuricemic Mice
20133
11 2011238
12 201136
13 2010265
14 201065
15 2009138
16 200891
17 200820
18 2006455
19 200527
20 2004415

About Qing Ma

Qing Ma is a scholar working on Nephrology, Critical Care and Intensive Care Medicine, Transplantation, Pathology and Forensic Medicine and Epidemiology, having authored 67 papers that have together received 9.4k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (44 papers), Chronic Kidney Disease and Diabetes (29 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (14 papers), Sepsis Diagnosis and Treatment (9 papers), Renal and related cancers (7 papers), Renal Diseases and Glomerulopathies (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and Dialysis and Renal Disease Management (5 papers). The work is most often cited by research in Nephrology (7.7k citations), Critical Care and Intensive Care Medicine (2.5k citations), Transplantation (229 citations), Emergency Medicine (825 citations) and Epidemiology (1.7k citations). Qing Ma has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Prasad Devarajan, Jonathan Barasch, Jaya Mishra, Mark Mitsnefes, Michael Bennett, Caitlin Kelly, Catherine L. Dent, Kamyar Zahedi, Kiyoshi Mori and Jun Yang. Their work appears in journals such as Pediatric Nephrology, American Journal of Physiology-Renal Physiology, Kidney International, Journal of the American Society of Nephrology and Clinical Journal of the American Society of Nephrology.

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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