Lan Dong

1.5k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Lan Dong is a scholar working on Obstetrics and Gynecology, Infectious Diseases and Oncology. According to data from OpenAlex, Lan Dong has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Obstetrics and Gynecology, 2 papers in Infectious Diseases and 2 papers in Oncology. Recurrent topics in Lan Dong's work include COVID-19 Impact on Reproduction (3 papers), Reproductive System and Pregnancy (2 papers) and COVID-19 Clinical Research Studies (2 papers). Lan Dong is often cited by papers focused on COVID-19 Impact on Reproduction (3 papers), Reproductive System and Pregnancy (2 papers) and COVID-19 Clinical Research Studies (2 papers). Lan Dong collaborates with scholars based in China, Australia and Canada. Lan Dong's co-authors include Jing Yang, Songming He, Jian Wang, Jinhua Tian, Chen Liu, Cheng Peng, Dayi Chen, Lian Yang, Xiaoqi Pan and Ming Lei and has published in prestigious journals such as JAMA, Journal of Cellular and Molecular Medicine and Virus Research.

In The Last Decade

Lan Dong

9 papers receiving 966 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Possible Vertical Transmission of SARS-CoV-2 From an Infected Mother to Her Newborn

2020 840 citations Lan Dong, Jinhua Tian et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lan Dong China	6	806	343	230	220	162	9	1.0k
Jianping Zhang China	5	262 0.3×	123 0.4×	103 0.4×	100 0.5×	82 0.5×	11	433
Marwa O. Elgendy Egypt	15	44 0.1×	144 0.4×	117 0.5×	191 0.9×	53 0.3×	60	706
Paola Meraviglia Italy	19	87 0.1×	30 0.1×	113 0.5×	941 4.3×	65 0.4×	61	1.3k
Efrén Murillo‐Zamora Mexico	15	35 0.0×	127 0.4×	26 0.1×	293 1.3×	73 0.5×	82	563
Kristine E. Shields United States	11	136 0.2×	202 0.6×	130 0.6×	50 0.2×	20 0.1×	17	511
Belinda J. Njiro Tanzania	10	61 0.1×	64 0.2×	42 0.2×	214 1.0×	21 0.1×	39	435
Ida Laake Norway	15	61 0.1×	87 0.3×	19 0.1×	104 0.5×	97 0.6×	43	616
Adina Bar‐Chaim Israel	8	42 0.1×	33 0.1×	40 0.2×	731 3.3×	56 0.3×	18	947
Ozlem Equils United States	8	109 0.1×	70 0.2×	65 0.3×	149 0.7×	17 0.1×	11	548
Snezana Djurisic Denmark	16	122 0.2×	257 0.7×	39 0.2×	31 0.1×	22 0.1×	25	809

Countries citing papers authored by Lan Dong

Since Specialization

Citations

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

Fields of papers citing papers by Lan Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Dong. A scholar is included among the top collaborators of Lan Dong 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 Lan Dong. Lan Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Mei, Liye, Jing He, Lan Dong, et al.. (2024). High‐Accuracy and Lightweight Image Classification Network for Optimizing Lymphoblastic Leukemia Diagnosis. Microscopy Research and Technique. 88(2). 489–500. 3 indexed citations

2.

Zhou, Limei, et al.. (2023). Mesenchymal stem cell-derived exosomes ameliorate TGF-β1-induced endometrial fibrosis by altering their miRNA profile.. PubMed. 15(5). 3203–3216. 2 indexed citations

3.

Zhang, Lu, Lan Dong, Ming Lei, et al.. (2020). Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) infection during late pregnancy: a report of 18 patients from Wuhan, China. BMC Pregnancy and Childbirth. 20(1). 394–394. 49 indexed citations

4.

Pan, Xiaoqi, Lan Dong, Lian Yang, Dayi Chen, & Cheng Peng. (2020). Potential drugs for the treatment of the novel coronavirus pneumonia (COVID-19) in China. Virus Research. 286. 198057–198057. 54 indexed citations

5.

Wu, Yanting, Chen Liu, Lan Dong, et al.. (2020). Viral Shedding of COVID-19 in Pregnant Women. SSRN Electronic Journal. 16 indexed citations

6.

Dong, Lan, Lu Zhang, Hua Liu, et al.. (2020). Circ_0007331 knock‐down suppresses the progression of endometriosis via miR‐200c‐3p/HiF‐1α axis. Journal of Cellular and Molecular Medicine. 24(21). 12656–12666. 28 indexed citations

7.

Dong, Lan, Jinhua Tian, Songming He, et al.. (2020). Possible Vertical Transmission of SARS-CoV-2 From an Infected Mother to Her Newborn. JAMA. 323(18). 1846–1848. 840 indexed citations breakdown →

8.

Huang, Bo, et al.. (2020). WJ‑MSCs intervention may relieve intrauterine adhesions in female rats via TGF‑β1‑mediated Rho/ROCK signaling inhibition. Molecular Medicine Reports. 23(1). 1–1. 11 indexed citations

9.

Xu, Wangming, et al.. (2016). Patients with cervical Ureaplasma Urealyticum and Chlamydia Trachomatis infection undergoing IVF/ICSI-ET: The need for new paradigm. Journal of Huazhong University of Science and Technology [Medical Sciences]. 36(5). 716–722. 4 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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