Neng Lou

1.3k total citations · 1 hit paper
14 papers, 1.0k citations indexed

About

Neng Lou is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Physiology. According to data from OpenAlex, Neng Lou has authored 14 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 7 papers in Oncology and 7 papers in Physiology. Recurrent topics in Neng Lou's work include Gastric Cancer Management and Outcomes (9 papers), Nutrition and Health in Aging (7 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Neng Lou is often cited by papers focused on Gastric Cancer Management and Outcomes (9 papers), Nutrition and Health in Aging (7 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Neng Lou collaborates with scholars based in China. Neng Lou's co-authors include Xian Shen, Cheng‐Le Zhuang, Su-Lin Wang, Wenyang Pang, Chong-Jun Zhou, Zhen Yu, Liangliang Ma, Dongdong Huang, Dongdong Huang and Fan‐Feng Chen and has published in prestigious journals such as PLoS ONE, Medicine and Annals of Surgical Oncology.

In The Last Decade

Neng Lou

14 papers receiving 1.0k 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.

Sarcopenia is an Independent Predictor of Severe Postoperative Complications and Long-Term Survival After Radical Gastrectomy for Gastric Cancer

2016 362 citations Cheng‐Le Zhuang, Dongdong Huang et al. Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neng Lou China	12	670	369	330	330	286	14	1.0k
Sakae Maeda Japan	8	330 0.5×	296 0.8×	172 0.5×	270 0.8×	119 0.4×	43	649
Wenyang Pang China	10	499 0.7×	287 0.8×	246 0.7×	177 0.5×	219 0.8×	14	750
Mayuko Ohuchi Japan	13	431 0.6×	313 0.8×	191 0.6×	428 1.3×	218 0.8×	31	878
Ryo Nakagomi Japan	10	405 0.6×	141 0.4×	95 0.3×	183 0.6×	127 0.4×	24	788
Yukio Maezawa Japan	15	174 0.3×	429 1.2×	488 1.5×	299 0.9×	29 0.1×	117	808
Kazuki Kano Japan	15	173 0.3×	448 1.2×	528 1.6×	308 0.9×	32 0.1×	107	843
Brechtje A. Grotenhuis Netherlands	17	145 0.2×	732 2.0×	396 1.2×	239 0.7×	59 0.2×	51	949
Hideki Miyata Japan	13	167 0.2×	115 0.3×	68 0.2×	141 0.4×	24 0.1×	37	584
Jorne Ubachs Netherlands	6	364 0.5×	109 0.3×	30 0.1×	120 0.4×	148 0.5×	6	480
Conrad M. Tobert United States	15	161 0.2×	171 0.5×	343 1.0×	76 0.2×	34 0.1×	33	540

Countries citing papers authored by Neng Lou

Since Specialization

Citations

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

Fields of papers citing papers by Neng Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neng Lou

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

All Works

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14 of 14 papers shown

Xu, Yongcan, Jing Xu, Jun Lü, et al.. (2022). LncRNA RP11-138J23.1 Contributes to Gastric Cancer Progression by Interacting With RNA-Binding Protein HuR. Frontiers in Oncology. 12. 848406–848406. 5 indexed citations

Xu, Yongcan, et al.. (2022). Long noncoding RNA GAS5 inhibits proliferation and metastasis in papillary thyroid carcinoma through the IFN/STAT1 signaling pathway. Pathology - Research and Practice. 233. 153856–153856. 12 indexed citations

Zhang, Mingjie, Guoping Ding, Huilian Huang, et al.. (2020). Interferon gamma inhibits CXCL8–CXCR2 axis mediated tumor-associated macrophages tumor trafficking and enhances anti-PD1 efficacy in pancreatic cancer. Journal for ImmunoTherapy of Cancer. 8(1). e000308–e000308. 136 indexed citations

Zhang, Weiteng, Ji Lin, Wei‐Sheng Chen, et al.. (2018). Sarcopenic Obesity Is Associated with Severe Postoperative Complications in Gastric Cancer Patients Undergoing Gastrectomy: a Prospective Study. Journal of Gastrointestinal Surgery. 22(11). 1861–1869. 43 indexed citations

Lin, Ji, Weiteng Zhang, Wei‐Sheng Chen, et al.. (2018). Sarcopenia is associated with the neutrophil/lymphocyte and platelet/lymphocyte ratios in operable gastric cancer patients: a prospective study. Cancer Management and Research. Volume 10. 4935–4944. 50 indexed citations

Mao, Chenchen, Xiaohong Chen, Ji Lin, et al.. (2018). A Novel Nomogram for Predicting Postsurgical Intra-abdominal Infection in Gastric Cancer Patients: a Prospective Study. Journal of Gastrointestinal Surgery. 22(3). 421–429. 11 indexed citations

Chen, Xiaohong, Tao Chen, Weiteng Zhang, et al.. (2017). Use of the combination of the preoperative platelet-to-lymphocyte ratio and tumor characteristics to predict peritoneal metastasis in patients with gastric cancer. PLoS ONE. 12(4). e0175074–e0175074. 19 indexed citations

Pang, Wenyang, et al.. (2016). Combination of preoperative platelet/lymphocyte and neutrophil/lymphocyte rates and tumor-related factors to predict lymph node metastasis in patients with gastric cancer. European Journal of Gastroenterology & Hepatology. 28(5). 493–502. 34 indexed citations

Huang, Dongdong, Chong-Jun Zhou, Su-Lin Wang, et al.. (2016). Impact of different sarcopenia stages on the postoperative outcomes after radical gastrectomy for gastric cancer. Surgery. 161(3). 680–693. 104 indexed citations

10.

Zhuang, Cheng‐Le, Dongdong Huang, Wenyang Pang, et al.. (2016). Sarcopenia is an Independent Predictor of Severe Postoperative Complications and Long-Term Survival After Radical Gastrectomy for Gastric Cancer. Medicine. 95(13). e3164–e3164. 362 indexed citations breakdown →

11.

Lou, Neng, Liang Zhang, Xiaohong Chen, et al.. (2016). A novel scoring system associating with preoperative platelet/lymphocyte and clinicopathologic features to predict lymph node metastasis in early gastric cancer. Journal of Surgical Research. 209. 153–161. 19 indexed citations

12.

Zhuang, Cheng‐Le, Su-Lin Wang, Dongdong Huang, et al.. (2015). Risk Factors for Hospital Readmission after Radical Gastrectomy for Gastric Cancer: A Prospective Study. PLoS ONE. 10(4). e0125572–e0125572. 29 indexed citations

13.

Huang, Dongdong, Cheng‐Le Zhuang, Su-Lin Wang, et al.. (2015). Prediction of Prolonged Postoperative Ileus After Radical Gastrectomy for Gastric Cancer. Medicine. 94(51). e2242–e2242. 23 indexed citations

14.

Wang, Su-Lin, Cheng‐Le Zhuang, Dongdong Huang, et al.. (2015). Sarcopenia Adversely Impacts Postoperative Clinical Outcomes Following Gastrectomy in Patients with Gastric Cancer: A Prospective Study. Annals of Surgical Oncology. 23(2). 556–564. 173 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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