Suman K. Vodnala

3.9k total citations · 3 hit papers
25 papers, 2.1k citations indexed

About

Suman K. Vodnala is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Suman K. Vodnala has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Suman K. Vodnala's work include CAR-T cell therapy research (10 papers), Trypanosoma species research and implications (8 papers) and Research on Leishmaniasis Studies (5 papers). Suman K. Vodnala is often cited by papers focused on CAR-T cell therapy research (10 papers), Trypanosoma species research and implications (8 papers) and Research on Leishmaniasis Studies (5 papers). Suman K. Vodnala collaborates with scholars based in United States, Sweden and United Kingdom. Suman K. Vodnala's co-authors include Nicholas P. Restifo, Tori N. Yamamoto, Robert Eil, Kent W. Hunter, Madhusudhanan Sukumar, Jeffrey E. Green, Laura Vera‐Ramirez, Zhiya Yu, Christopher A. Klebanoff and Douglas C. Palmer and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Suman K. Vodnala

25 papers receiving 2.1k 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.

Ionic immune suppression within the tumour microenvironment limits T cell effector function

2016 489 citations Robert Eil, Suman K. Vodnala et al. Nature profile →
T cell stemness and dysfunction in tumors are triggered by a common mechanism

2019 409 citations Suman K. Vodnala, Robert Eil et al. profile →
Autophagy promotes the survival of dormant breast cancer cells and metastatic tumour recurrence

2018 336 citations Laura Vera‐Ramirez, Suman K. Vodnala et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suman K. Vodnala United States	16	900	841	730	381	257	25	2.1k
Guangfu Li United States	28	984 1.1×	821 1.0×	644 0.9×	252 0.7×	183 0.7×	96	2.4k
Tony Avril France	30	1.4k 1.5×	563 0.7×	1.0k 1.4×	485 1.3×	115 0.4×	48	2.8k
Maximilien Tailler France	18	1.1k 1.3×	685 0.8×	1.1k 1.5×	715 1.9×	202 0.8×	26	2.6k
Jaehong Kim South Korea	20	946 1.1×	373 0.4×	513 0.7×	374 1.0×	127 0.5×	54	2.2k
Srikumar M. Raja United States	27	1.3k 1.4×	359 0.4×	684 0.9×	199 0.5×	91 0.4×	37	2.4k
Marco B.E. Schaaf Netherlands	16	847 0.9×	447 0.5×	395 0.5×	680 1.8×	183 0.7×	19	1.9k
Tae Woo Kim South Korea	30	1.2k 1.3×	710 0.8×	807 1.1×	177 0.5×	256 1.0×	65	2.3k
Chunqing Guo United States	29	1.5k 1.7×	611 0.7×	1.2k 1.7×	217 0.6×	209 0.8×	66	2.9k
Britta Mueller United States	12	1.1k 1.2×	421 0.5×	402 0.6×	347 0.9×	208 0.8×	14	1.9k
Laura E. Herring United States	26	1.6k 1.8×	616 0.7×	796 1.1×	221 0.6×	560 2.2×	100	2.9k

Countries citing papers authored by Suman K. Vodnala

Since Specialization

Citations

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

Fields of papers citing papers by Suman K. Vodnala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suman K. Vodnala. 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 Suman K. Vodnala. The network helps show where Suman K. Vodnala may publish in the future.

Co-authorship network of co-authors of Suman K. Vodnala

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

All Works

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20 of 20 papers shown

Vodnala, Suman K. & Meredith A. Redd. (2024). An overview of Transethosomes: Novel nanocarrier for transdermal drug delivery system. GSC Biological and Pharmaceutical Sciences. 26(3). 222–231. 1 indexed citations

Sukumar, Madhusudhanan, Kuoyuan Cheng, Arunakumar Gangaplara, et al.. (2021). Abstract 1527: Integrated computational and experimental analysis identifies the mitochondrial uncoupling protein 2 (Ucp2) as a key regulator of T cell anti-tumor function. Cancer Research. 81(13_Supplement). 1527–1527. 1 indexed citations

Kishton, Rigel J., Suman K. Vodnala, Raul Vizcardo, & Nicholas P. Restifo. (2021). Next generation immunotherapy: enhancing stemness of polyclonal T cells to improve anti-tumor activity. Current Opinion in Immunology. 74. 39–45. 18 indexed citations

Griner, Lesley A. Mathews, Janani Sundaresan, Zhiya Yu, et al.. (2020). Identification of Small Molecule Enhancers of Immunotherapy for Melanoma. Scientific Reports. 10(1). 5688–5688. 6 indexed citations

Gurusamy, Devikala, Amanda N. Henning, Tori N. Yamamoto, et al.. (2020). Multi-phenotype CRISPR-Cas9 Screen Identifies p38 Kinase as a Target for Adoptive Immunotherapies. Cancer Cell. 37(6). 818–833.e9. 116 indexed citations

Vodnala, Suman K., Howard H. Yang, Randall A. Dass, et al.. (2019). Aicardi-Goutières syndrome gene Rnaseh2c is a metastasis susceptibility gene in breast cancer. PLoS Genetics. 15(5). e1008020–e1008020. 11 indexed citations

Lee, Ping‐Hsien, Tori N. Yamamoto, Devikala Gurusamy, et al.. (2019). Host conditioning with IL-1β improves the antitumor function of adoptively transferred T cells. The Journal of Experimental Medicine. 216(11). 2619–2634. 60 indexed citations

Yamamoto, Tori N., Ping‐Hsien Lee, Suman K. Vodnala, et al.. (2019). T cells genetically engineered to overcome death signaling enhance adoptive cancer immunotherapy. Journal of Clinical Investigation. 129(4). 1551–1565. 110 indexed citations

Ishii, Hiroki, Suman K. Vodnala, Bhagelu R. Achyut, et al.. (2018). miR-130a and miR-145 reprogram Gr-1+CD11b+ myeloid cells and inhibit tumor metastasis through improved host immunity. Nature Communications. 9(1). 2611–2611. 34 indexed citations

10.

Vera‐Ramirez, Laura, et al.. (2018). Autophagy promotes the survival of dormant breast cancer cells and metastatic tumour recurrence. Nature Communications. 9(1). 1944–1944. 336 indexed citations breakdown →

11.

Klebanoff, Christopher A., Joseph G. Crompton, Anthony Leonardi, et al.. (2017). Inhibition of AKT signaling uncouples T cell differentiation from expansion for receptor-engineered adoptive immunotherapy. JCI Insight. 2(23). 160 indexed citations

12.

Ishii, Hiroki, Suman K. Vodnala, Bhagelu R. Achyut, et al.. (2017). Abstract 2944: miR-130a and -145 reprogram myeloid derived suppressor cells and enhance anti-tumor immunity. Cancer Research. 77(13_Supplement). 2944–2944. 1 indexed citations

13.

Eil, Robert, Suman K. Vodnala, David Clever, et al.. (2016). Ionic immune suppression within the tumour microenvironment limits T cell effector function. Nature. 537(7621). 539–543. 489 indexed citations breakdown →

14.

Olivera, Gabriela C., Xiaoyuan Ren, Suman K. Vodnala, et al.. (2016). Nitric Oxide Protects against Infection-Induced Neuroinflammation by Preserving the Stability of the Blood-Brain Barrier. PLoS Pathogens. 12(2). e1005442–e1005442. 55 indexed citations

15.

Vodnala, Suman K., Thomas Lundbäck, Anna‐Lena Gustavsson, et al.. (2013). Structure–Activity Relationships of Synthetic Cordycepin Analogues as Experimental Therapeutics for African Trypanosomiasis. Journal of Medicinal Chemistry. 56(24). 9861–9873. 56 indexed citations

16.

Lu, Jun, Suman K. Vodnala, Anna‐Lena Gustavsson, et al.. (2013). Ebsulfur Is a Benzisothiazolone Cytocidal Inhibitor Targeting the Trypanothione Reductase of Trypanosoma brucei. Journal of Biological Chemistry. 288(38). 27456–27468. 45 indexed citations

17.

Vodnala, Suman K., et al.. (2012). In Vitro and In Vivo Activities of 2-Aminopyrazines and 2-Aminopyridines in Experimental Models of Human African Trypanosomiasis. Antimicrobial Agents and Chemotherapy. 57(2). 1012–1018. 9 indexed citations

18.

Vodnala, Suman K., et al.. (2011). Distinct Toll-like Receptor Signals Regulate Cerebral Parasite Load and Interferon α/β and Tumor Necrosis Factor α–Dependent T-Cell Infiltration in the Brains of Trypanosoma brucei–Infected Mice. The Journal of Infectious Diseases. 205(2). 320–332. 45 indexed citations

19.

Vodnala, Suman K., Marcela Ferella, Nick Van Reet, et al.. (2009). Preclinical Assessment of the Treatment of Second-Stage African Trypanosomiasis with Cordycepin and Deoxycoformycin. PLoS neglected tropical diseases. 3(8). e495–e495. 37 indexed citations

20.

Claes, Filip, Suman K. Vodnala, Nick Van Reet, et al.. (2009). Bioluminescent Imaging of Trypanosoma brucei Shows Preferential Testis Dissemination Which May Hamper Drug Efficacy in Sleeping Sickness. PLoS neglected tropical diseases. 3(7). e486–e486. 71 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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