Mingjing Wu

444 total citations
9 papers, 292 citations indexed

About

Mingjing Wu is a scholar working on Neurology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mingjing Wu has authored 9 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Infectious Diseases and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mingjing Wu's work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory Support and Mechanisms (2 papers). Mingjing Wu is often cited by papers focused on Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers) and Respiratory Support and Mechanisms (2 papers). Mingjing Wu collaborates with scholars based in China and United States. Mingjing Wu's co-authors include Lei Shi, Jing Wei, Jiaxin Yan, Lei Shu, Xiaolin Chen, Kaili Deng, Ganzhu Feng, Ningfei Ji, Ruyou Li and Tingrong Huang and has published in prestigious journals such as Journal of Medical Virology, Stem Cell Research & Therapy and Frontiers in Cellular and Infection Microbiology.

In The Last Decade

Mingjing Wu

9 papers receiving 288 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mingjing Wu China	6	145	129	114	60	51	9	292
Anthony Padula United States	11	68 0.5×	53 0.4×	36 0.3×	68 1.1×	16 0.3×	18	316
Yamac Akgun United States	4	62 0.4×	59 0.5×	117 1.0×	15 0.3×	28 0.5×	11	288
Yu Ma China	11	59 0.4×	43 0.3×	34 0.3×	122 2.0×	73 1.4×	24	318
Anmol Bansal United States	7	65 0.4×	47 0.4×	46 0.4×	37 0.6×	11 0.2×	13	237
Rumana Makhdoomi India	10	54 0.4×	119 0.9×	28 0.2×	45 0.8×	11 0.2×	42	267
Grace Qian United States	10	14 0.1×	95 0.7×	149 1.3×	41 0.7×	44 0.9×	27	289
Rahul Chopra United States	7	21 0.1×	202 1.6×	54 0.5×	29 0.5×	24 0.5×	7	324
Frank Rothmann Germany	7	63 0.4×	25 0.2×	52 0.5×	31 0.5×	23 0.5×	13	219
S. Dirou France	7	105 0.7×	20 0.2×	13 0.1×	76 1.3×	41 0.8×	19	280
Markus Lenski Germany	12	70 0.5×	100 0.8×	13 0.1×	30 0.5×	27 0.5×	20	372

Countries citing papers authored by Mingjing Wu

Since Specialization

Citations

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

Fields of papers citing papers by Mingjing Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjing Wu. A scholar is included among the top collaborators of Mingjing Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingjing Wu. Mingjing Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Cao, Yang, Xiaolin Chen, Lei Shu, et al.. (2023). Analysis of the correlation between BMI and respiratory tract microbiota in acute exacerbation of COPD. Frontiers in Cellular and Infection Microbiology. 13. 1161203–1161203. 1 indexed citations

2.

Shi, Lei, You Zheng, Zhi Cheng, et al.. (2022). One-year follow-up study after patients with severe COVID-19 received human umbilical cord mesenchymal stem cells treatment. Stem Cell Research & Therapy. 13(1). 321–321. 6 indexed citations

3.

Feng, Ganzhu, Lei Shi, Tingrong Huang, et al.. (2021). Human Umbilical Cord Mesenchymal Stromal Cell Treatment of Severe COVID-19 Patients: A 3-Month Follow-Up Study Following Hospital Discharge. Stem Cells and Development. 30(15). 773–781. 18 indexed citations

4.

Shu, Lei, Ruyou Li, Tingrong Huang, et al.. (2020). Treatment of severe COVID-19 with human umbilical cord mesenchymal stem cells. Stem Cell Research & Therapy. 11(1). 361–361. 211 indexed citations

5.

Shu, Lei, Mingquan Li, Xiaolin Chen, et al.. (2020). Clinical Characteristics of 545 Cases Confirmed COVID-19 in Wuhan Stadium Cabin Hospital. SSRN Electronic Journal. 6 indexed citations

6.

Wu, Mingjing, et al.. (2020). Dynamic Splitting Experimental Study on Sandstone at Actual High Temperatures under Different Loading Rates. Shock and Vibration. 2020. 1–12. 5 indexed citations

7.

Shu, Lei, Xiaoyan Wang, Mingquan Li, et al.. (2020). Clinical characteristics of moderate COVID‐19 patients aggravation in Wuhan Stadium Cabin Hospital: A 571 cases of retrospective cohort study. Journal of Medical Virology. 93(2). 1133–1140. 21 indexed citations

8.

Liu, Chang, Limei Qi, & Mingjing Wu. (2018). Triple-broadband infrared metamaterial absorber with polarization-independent and wide-angle absorption. Optical Materials Express. 8(8). 2439–2439. 22 indexed citations

9.

Wu, Mingjing. (2017). Opportunities and Challenges Faced by Management Accounting in the Era of qInternet Plusq and Big Accounting. 2 indexed citations

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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