Junjun Lu

465 total citations
10 papers, 55 citations indexed

About

Junjun Lu is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Junjun Lu has authored 10 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Immunology. Recurrent topics in Junjun Lu's work include Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA Interference and Gene Delivery (2 papers). Junjun Lu is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA Interference and Gene Delivery (2 papers). Junjun Lu collaborates with scholars based in United States and China. Junjun Lu's co-authors include Simon N. Robinson, Elizabeth J. Shpall, Michael W. Thomas, Victor A. Levin, Richard J. Jones, Sergio Giralt, Roy B. Jones, Patrick A. Zweidler‐McKay, Mengda Xu and William K. Decker and has published in prestigious journals such as Blood, Cancer Research and Scientific Reports.

In The Last Decade

Junjun Lu

10 papers receiving 55 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjun Lu United States 5 20 17 13 8 8 10 55
Annabell Szymansky Germany 6 39 1.9× 10 0.6× 11 0.8× 11 1.4× 12 1.5× 13 81
Claire Fielding United Kingdom 4 22 1.1× 20 1.2× 9 0.7× 11 1.4× 5 0.6× 6 66
Alexander Leunig Germany 6 18 0.9× 5 0.3× 10 0.8× 4 0.5× 7 0.9× 12 69
Stellanie Krimm United States 2 28 1.4× 19 1.1× 28 2.2× 3 0.4× 7 0.9× 3 75
Giovanny Hernandez United States 4 19 0.9× 32 1.9× 3 0.2× 7 0.9× 12 1.5× 11 70
Juan Luís Reguera Spain 5 17 0.8× 24 1.4× 21 1.6× 7 0.9× 5 0.6× 8 68
Helene Kraus Switzerland 3 25 1.3× 14 0.8× 22 1.7× 9 1.1× 5 0.6× 3 101
Uyen T. Vu United States 6 75 3.8× 8 0.5× 6 0.5× 6 0.8× 12 1.5× 6 108
Maud Tusseau France 5 9 0.5× 7 0.4× 5 0.4× 6 0.8× 4 0.5× 8 49
Ana Belén Perona Moratalla Spain 2 31 1.6× 3 0.2× 7 0.5× 5 0.6× 7 0.9× 7 66

Countries citing papers authored by Junjun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjun Lu

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

All Works

10 of 10 papers shown
1.
Liu, Kun, et al.. (2025). A transformable DNA Nano-windmill for the activation and regulation of the heterodimerization receptors across RTK families. Chinese Chemical Letters. 37(4). 111049–111049. 2 indexed citations
2.
Liu, Kun, et al.. (2024). A Bivalent Aptamer-Based DNA Agonist for EGFR Signaling Effectively Alleviates Ulcerative Colitis In Vivo. ACS Chemical Biology. 19(6). 1280–1290. 9 indexed citations
3.
Zhang, Yan, Junjun Lu, Mengda Xu, et al.. (2023). Effects of different anesthesia methods on postoperative immune function in patients undergoing gastrointestinal tumor resection. Scientific Reports. 13(1). 243–243. 11 indexed citations
4.
Shi, Chaohong, et al.. (2020). Eriodictyol attenuates spinal cord injury by activating Nrf2/HO-1 pathway and inhibiting NF-κB pathway. Tropical Journal of Pharmaceutical Research. 19(8). 1611–1617. 2 indexed citations
5.
Shi, Chaohong, et al.. (2018). MicroRNA-92a Relieves Oxidative Stress and Inflammation via Modulating PI3K/AKT/ERK Pathway After Spinal Cord Injury. Journal of Biomaterials and Tissue Engineering. 8(11). 1622–1628. 1 indexed citations
6.
Robinson, Simon N., Michael W. Thomas, Paul J. Simmons, et al.. (2016). Non-fucosylated CB CD34+ cells represent a good target for enforced fucosylation to improve engraftment following cord blood transplantation. Cytotherapy. 19(2). 285–292. 6 indexed citations
7.
Zweidler‐McKay, Patrick A., Simon N. Robinson, Michael W. Thomas, et al.. (2013). Cord Blood CD34+ Stem Cell Sialyl Lewis X Levels and E-Selectin Binding Are Predictive Of Engraftment In Mice: Functional Separation Of Stemness and Homing To Improve Engraftment. Blood. 122(21). 893–893. 2 indexed citations
8.
Yang, Hong, Simon N. Robinson, Yago Nieto, et al.. (2011). Ex Vivo Graft Purging and Expansion of Autologous Blood Progenitor Cell Products from Patients with Multiple Myeloma. Cancer Research. 71(14). 5040–5049. 13 indexed citations
9.
Przepiorka, Donna, Junjun Lu, Paolo Anderlini, et al.. (1999). Debulking blood stem cell collections by density gradient centrifugation in a closed-vessel system. Cytotherapy. 1(2). 111–117. 3 indexed citations
10.
HO, B. T., et al.. (1994). Neurochemical basis of interleukin 2-modified discrimination behaviour. Cytokine. 6(4). 365–367. 6 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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