Lalit Rane

665 total citations
19 papers, 439 citations indexed

About

Lalit Rane is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Lalit Rane has authored 19 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Lalit Rane's work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Lalit Rane is often cited by papers focused on CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (4 papers). Lalit Rane collaborates with scholars based in Sweden, United States and Italy. Lalit Rane's co-authors include Markus Maeurer, Thomas Poiret, Qingda Meng, Raija Ahmed, Alimuddin Zumla, Nalini Vudattu, Alena Skrahina, Aliaksandr Skrahin, Ernest Dodoo and Zhenjiang Liu and has published in prestigious journals such as Journal of Leukocyte Biology, Journal of Internal Medicine and Oncotarget.

In The Last Decade

Lalit Rane

18 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lalit Rane Sweden 11 205 175 86 82 71 19 439
Marta Mion Italy 13 126 0.6× 116 0.7× 54 0.6× 47 0.6× 19 0.3× 37 413
Badri Modi United States 11 128 0.6× 128 0.7× 111 1.3× 25 0.3× 31 0.4× 29 566
G Taborelli Italy 14 252 1.2× 72 0.4× 34 0.4× 28 0.3× 75 1.1× 28 590
Susan Snodgrass United States 13 154 0.8× 101 0.6× 33 0.4× 19 0.2× 117 1.6× 19 595
Toshihiro Imaizumi Japan 10 198 1.0× 187 1.1× 106 1.2× 41 0.5× 14 0.2× 16 563
Inmaculada de Prada Spain 11 101 0.5× 102 0.6× 41 0.5× 49 0.6× 51 0.7× 35 371
Daniela Frölich Germany 8 351 1.7× 49 0.3× 43 0.5× 34 0.4× 50 0.7× 10 535
Michael DiIorio United States 7 254 1.2× 145 0.8× 23 0.3× 50 0.6× 14 0.2× 13 451
Francesca Pala Italy 13 240 1.2× 76 0.4× 47 0.5× 27 0.3× 34 0.5× 39 614

Countries citing papers authored by Lalit Rane

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Rane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalit Rane

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

All Works

19 of 19 papers shown
1.
Liu, Zhenjiang, Thomas Poiret, Oscar Persson, et al.. (2017). NY-ESO-1- and survivin-specific T-cell responses in the peripheral blood from patients with glioma. Cancer Immunology Immunotherapy. 67(2). 237–246. 12 indexed citations
2.
Rane, Lalit, Sayma Rahman, Isabelle Magalhaes, et al.. (2017). IL-7δ5 protein is expressed in human tissues and induces expression of the oxidized low density lipoprotein receptor 1 (OLR1) in CD14+ monocytes. International Journal of Infectious Diseases. 59. 29–36. 2 indexed citations
3.
Valentini, Davide, Martin Rao, Lalit Rane, et al.. (2017). Peptide microarray-based characterization of antibody responses to host proteins after bacille Calmette–Guérin vaccination. International Journal of Infectious Diseases. 56. 140–154. 16 indexed citations
4.
Meng, Qingda, Zhenjiang Liu, Elena Rangelova, et al.. (2016). Expansion of Tumor-reactive T Cells From Patients With Pancreatic Cancer. Journal of Immunotherapy. 39(2). 81–89. 67 indexed citations
6.
Erkers, Tom, Cecilia Bergström, Arwen Stikvoort, et al.. (2016). Frontline Science: Placenta-derived decidual stromal cells alter IL-2R expression and signaling in alloantigen-activated T cells. Journal of Leukocyte Biology. 101(3). 623–632. 9 indexed citations
7.
Liu, Zhenjiang, Qingda Meng, Jiří Bártek, et al.. (2016). Tumor-infiltrating lymphocytes (TILs) from patients with glioma. OncoImmunology. 6(2). e1252894–e1252894. 72 indexed citations
8.
Ambati, Aditya, Thomas Poiret, B.‐M. Svahn, et al.. (2015). Increased β‐haemolytic group A streptococcal M6 serotype and streptodornase B‐specific cellular immune responses in Swedish narcolepsy cases. Journal of Internal Medicine. 278(3). 264–276. 23 indexed citations
9.
Liu, Zhenjiang, Qingda Meng, Markus Maeurer, et al.. (2015). IL-2, IL-15 and IL-21 expand T cells for targeted adoptive therapy. Journal for ImmunoTherapy of Cancer. 3(Suppl 2). P31–P31. 1 indexed citations
10.
Magalhaes, Isabelle, Mikael Eriksson, Lalit Rane, et al.. (2014). Difference in immune response in vaccinated and unvaccinated Swedish individuals after the 2009 influenza pandemic. BMC Infectious Diseases. 14(1). 319–319. 7 indexed citations
11.
Skrahin, Aliaksandr, Raija Ahmed, Giovanni Ferrara, et al.. (2014). Autologous mesenchymal stromal cell infusion as adjunct treatment in patients with multidrug and extensively drug-resistant tuberculosis: an open-label phase 1 safety trial. The Lancet Respiratory Medicine. 2(2). 108–122. 95 indexed citations
12.
Ahmed, Raija, Thomas Poiret, Aditya Ambati, et al.. (2014). TCR+CD4−CD8− T cells in Antigen-specific MHC Class I–restricted T-cell Responses After Allogeneic Hematopoietic Stem Cell Transplantation. Journal of Immunotherapy. 37(8). 416–425. 6 indexed citations
13.
Poiret, Thomas, Lalit Rane, Mats Remberger, et al.. (2014). Reduced plasma levels of soluble interleukin-7 receptor during graft-versus-host disease (GVHD) in children and adults. BMC Immunology. 15(1). 25–25. 13 indexed citations
14.
Liu, Zhenjiang, Qingda Meng, Oscar Persson, et al.. (2014). Rapid expansion of TILs from patients with glioma and recognition of autologous tumor. Journal for ImmunoTherapy of Cancer. 2(Suppl 3). P27–P27.
15.
Rane, Lalit, Isabelle Magalhaes, Mats Spångberg, et al.. (2011). Increased (6 exon) interleukin-7 production after M. tuberculosis infection and soluble interleukin-7 receptor expression in lung tissue. Genes and Immunity. 12(7). 513–522. 20 indexed citations
16.
Omar, Hamdy, Raija Ahmed, Lalit Rane, et al.. (2011). Decreased IL-7 Signaling in T Cells From Patients With PTLD After Allogeneic HSCT. Journal of Immunotherapy. 34(4). 390–396. 7 indexed citations
17.
Rane, Lalit, Nalini Vudattu, Kasia Bourcier, et al.. (2010). Alternative splicing of interleukin-7 (IL-7) and interleukin-7 receptor alpha (IL-7Rα) in peripheral blood from patients with multiple sclerosis (MS). Journal of Neuroimmunology. 222(1-2). 82–86. 29 indexed citations
18.
Moors, Michaela, Nalini Vudattu, Josef Abel, et al.. (2009). Interleukin-7 (IL-7) and IL-7 splice variants affect differentiation of human neural progenitor cells. Genes and Immunity. 11(1). 11–20. 42 indexed citations
19.
Jones, Robin L., et al.. (1960). New developments in cancer chemotherapeutic agents.. PubMed. 10. 99–108. 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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