Huiming Lu

563 total citations
9 papers, 318 citations indexed

About

Huiming Lu is a scholar working on Epidemiology, Surgery and Nephrology. According to data from OpenAlex, Huiming Lu has authored 9 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Huiming Lu's work include Liver Disease Diagnosis and Treatment (4 papers), Circadian rhythm and melatonin (2 papers) and Diet, Metabolism, and Disease (2 papers). Huiming Lu is often cited by papers focused on Liver Disease Diagnosis and Treatment (4 papers), Circadian rhythm and melatonin (2 papers) and Diet, Metabolism, and Disease (2 papers). Huiming Lu collaborates with scholars based in China and United Kingdom. Huiming Lu's co-authors include Xuefeng Yu, Xuan Lin, Tingting Du, Shujun Zhang, Junhui Xie, Yan Yang, Jianhua Zhang, Mengni Li, Jing Jia and Haiqing Gao and has published in prestigious journals such as Circulation, Medicine and Supportive Care in Cancer.

In The Last Decade

Huiming Lu

9 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huiming Lu China	6	232	175	72	60	59	9	318
Banu Mesçi Türkiye	9	120 0.5×	124 0.7×	47 0.7×	39 0.7×	71 1.2×	29	314
Grace En Hui Lim Singapore	7	296 1.3×	112 0.6×	41 0.6×	142 2.4×	57 1.0×	9	359
Katherine Eberly United States	5	275 1.2×	104 0.6×	25 0.3×	139 2.3×	43 0.7×	9	328
Angela Amante Italy	6	210 0.9×	78 0.4×	59 0.8×	111 1.9×	39 0.7×	7	263
Mohammad Nasser Kabbany United States	10	334 1.4×	148 0.8×	36 0.5×	172 2.9×	30 0.5×	20	385
Praveen Kumar Conjeevaram Selvakumar United States	9	325 1.4×	142 0.8×	34 0.5×	170 2.8×	28 0.5×	30	401
G Andreoli Italy	6	161 0.7×	162 0.9×	68 0.9×	38 0.6×	14 0.2×	18	297
Yingfen Qin China	8	79 0.3×	78 0.4×	28 0.4×	12 0.2×	46 0.8×	27	214
Chongjin Wang China	6	100 0.4×	42 0.2×	61 0.8×	23 0.4×	12 0.2×	10	292
Anjali Deshpande India	4	265 1.1×	158 0.9×	33 0.5×	105 1.8×	63 1.1×	13	327

Countries citing papers authored by Huiming Lu

Since Specialization

Citations

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

Fields of papers citing papers by Huiming Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiming Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Huiming Lu. A scholar is included among the top collaborators of Huiming Lu 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 Huiming Lu. Huiming Lu 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.

Chen, Yuqin, et al.. (2024). Bibliometric analysis of research trends in the relationship between frailty and neoplasms over the past decade. Supportive Care in Cancer. 32(8). 536–536. 1 indexed citations

2.

Hu, Ya Jun, et al.. (2024). The experience of fertility concerns in patients with testicular cancer: a qualitative study. Supportive Care in Cancer. 32(8). 529–529. 2 indexed citations

3.

Huang, Xuewei, Ke‐Qiong Deng, Juan‐Juan Qin, et al.. (2022). Association Between Lipid Profiles and Left Ventricular Hypertrophy: New Evidence from a Retrospective Study. Chinese Medical Sciences Journal. 37(2). 103–117. 6 indexed citations

4.

Zhang, Shujun, Tingting Du, Mengni Li, et al.. (2017). Triglyceride glucose-body mass index is effective in identifying nonalcoholic fatty liver disease in nonobese subjects. Medicine. 96(22). e7041–e7041. 60 indexed citations

5.

Zhang, Shujun, Tingting Du, Mengni Li, et al.. (2017). Combined effect of obesity and uric acid on nonalcoholic fatty liver disease and hypertriglyceridemia. Medicine. 96(12). e6381–e6381. 16 indexed citations

6.

Zhang, Shujun, Tingting Du, Jianhua Zhang, et al.. (2017). The triglyceride and glucose index (TyG) is an effective biomarker to identify nonalcoholic fatty liver disease. Lipids in Health and Disease. 16(1). 15–15. 194 indexed citations

7.

Du, Tingting, Xingxing Sun, Huiming Lu, et al.. (2014). Associations of serum uric acid levels with cardiovascular health factors:Differences by sex, age and body mass index in Chinese participants. European Journal of Internal Medicine. 25(4). 388–393. 15 indexed citations

8.

Zhou, Ruihai, Haiqing Gao, Xiangqun Liu, et al.. (1998). Circadian and Septadian Variation in the Occurrence of Acute Myocardial Infarction in a Chinese Population. Circulation. 62(3). 190–192. 5 indexed citations

9.

Zhou, Ruihai, et al.. (1998). Circadian and Septadian Variation in the Occurrence of Acute Myocardial Infarction in a Chinese Population. Japanese Circulation Journal. 62(3). 190–192. 19 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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