Rama Shivakumar

672 total citations
12 papers, 566 citations indexed

About

Rama Shivakumar is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Rama Shivakumar has authored 12 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Molecular Biology and 6 papers in Biotechnology. Recurrent topics in Rama Shivakumar's work include CAR-T cell therapy research (7 papers), Microbial Inactivation Methods (5 papers) and Immune Cell Function and Interaction (4 papers). Rama Shivakumar is often cited by papers focused on CAR-T cell therapy research (7 papers), Microbial Inactivation Methods (5 papers) and Immune Cell Function and Interaction (4 papers). Rama Shivakumar collaborates with scholars based in United States, Netherlands and Ireland. Rama Shivakumar's co-authors include Cornell Allen, Madhusudan V. Peshwa, Joseph C. Fratantoni, Linhong Li, Linda N. Liu, Sergey Dzekunov, Lawrence A. Wolfraim, Jonathan M. Weiss, Hiroyuki Fujisaki and Lin Li and has published in prestigious journals such as The Journal of Experimental Medicine, Human Gene Therapy and International Immunopharmacology.

In The Last Decade

Rama Shivakumar

12 papers receiving 543 citations

Peers

Rama Shivakumar
Babak Moghimi United States
Matthew J. Figliola United States
Claudia Gerken United States
Caroline Arber United States
Vita S. Salsman United States
Catherine P. Langford United States
Yu Kyeong Hwang South Korea
Rama Shivakumar
Citations per year, relative to Rama Shivakumar Rama Shivakumar (= 1×) peers Grit Lorenczewski

Countries citing papers authored by Rama Shivakumar

Since Specialization
Citations

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

Fields of papers citing papers by Rama Shivakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rama Shivakumar

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

All Works

12 of 12 papers shown
1.
2.
Hung, Chien‐Fu, Linhong Li, Ying Ma, et al.. (2018). Development of Anti-Human Mesothelin-Targeted Chimeric Antigen Receptor Messenger RNA–Transfected Peripheral Blood Lymphocytes for Ovarian Cancer Therapy. Human Gene Therapy. 29(5). 614–625. 68 indexed citations
3.
Wolfraim, Lawrence A., Angelia Viley, Rama Shivakumar, et al.. (2013). Clinical scale electroloading of mature dendritic cells with melanoma whole tumor cell lysate is superior to conventional lysate co-incubation in triggering robust in vitro expansion of functional antigen-specific CTL. International Immunopharmacology. 15(3). 488–497. 14 indexed citations
4.
Li, Linhong, Cornell Allen, Rama Shivakumar, & Madhusudan V. Peshwa. (2012). Large Volume Flow Electroporation of mRNA: Clinical Scale Process. Methods in molecular biology. 969. 127–138. 21 indexed citations
5.
Witting, Scott R., Aparna Jasti, Cornell Allen, et al.. (2011). Efficient Large Volume Lentiviral Vector Production Using Flow Electroporation. Human Gene Therapy. 23(2). 243–249. 26 indexed citations
6.
Li, Lin, Cornell Allen, Rama Shivakumar, et al.. (2009). Expression of chimeric antigen receptors in natural killer cells with a regulatory-compliant non-viral method. Cancer Gene Therapy. 17(3). 147–154. 118 indexed citations
7.
Liu, Linda N., Rama Shivakumar, Cornell Allen, & Joseph C. Fratantoni. (2008). Delivery of Whole Tumor Lysate into Dendritic Cells for Cancer Vaccination. Methods in molecular biology. 423. 139–153. 17 indexed citations
8.
Weiss, Jonathan M., et al.. (2005). Efficient Responses in a Murine Renal Tumor Model by Electroloading Dendritic Cells With Whole-Tumor Lysate. Journal of Immunotherapy. 28(6). 542–550. 12 indexed citations
9.
Biagi, E., Cornell Allen, Rama Shivakumar, et al.. (2005). Rapid and efficient nonviral gene delivery of CD154 to primary chronic lymphocytic leukemia cells. Cancer Gene Therapy. 13(2). 215–224. 18 indexed citations
10.
Weiss, Jonathan M., Rama Shivakumar, Linhong Li, et al.. (2004). Rapid, in vivo, evaluation of antiangiogenic and antineoplastic gene products by nonviral transfection of tumor cells. Cancer Gene Therapy. 11(5). 346–353. 20 indexed citations
11.
Li, Linhong, Rama Shivakumar, Cornell Allen, et al.. (2002). Highly Efficient, Large Volume Flow Electroporation. Technology in Cancer Research & Treatment. 1(5). 341–349. 50 indexed citations
12.
Ingram, David A., Kelly Hiatt, Alastair J. King, et al.. (2001). Hyperactivation of P21ras and the Hematopoietic-Specific Rho Gtpase, Rac2, Cooperate to Alter the Proliferation of Neurofibromin-Deficient Mast Cells in Vivo and in Vitro. The Journal of Experimental Medicine. 194(1). 57–70. 111 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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