Sumedha Pareek

471 total citations · 1 hit paper
10 papers, 339 citations indexed

About

Sumedha Pareek is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sumedha Pareek has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Sumedha Pareek's work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). Sumedha Pareek is often cited by papers focused on Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers) and T-cell and B-cell Immunology (2 papers). Sumedha Pareek collaborates with scholars based in United States, Italy and South Korea. Sumedha Pareek's co-authors include Keri Schadler, Sorin A. A. Shadaloey, Florencia McAllister, Maria Q. B. Petzel, Nathan H. Parker, Seyda Baydogan, George Miller, Carolina Alcantara Hirsch, Emma Kurz and Franco Tanzi and has published in prestigious journals such as PLoS ONE, Cancer Cell and Kidney International.

In The Last Decade

Sumedha Pareek

10 papers receiving 334 citations

Hit Papers

Exercise-induced engagement of the IL-15/IL-15Rα axis pro... 2022 2026 2023 2024 2022 40 80 120
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.

  1. Exercise-induced engagement of the IL-15/IL-15Rα axis promotes anti-tumor immunity in pancreatic cancer
    2022 146 citations Emma Kurz, Carolina Alcantara Hirsch et al. Cancer Cell profile →

Peers

Sumedha Pareek
Yong Fu China
Toshiaki Mishima Japan
Xiao Zhu United States
Jean‐Luc Carré France
B. Friedrich Germany
Jonathan Kenyon United States
Anhui Yao China
Xiao Hu China
Yong Fu China
Sumedha Pareek
Citations per year, relative to Sumedha Pareek Sumedha Pareek (= 1×) peers Yong Fu

Countries citing papers authored by Sumedha Pareek

Since Specialization
Citations

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

Fields of papers citing papers by Sumedha Pareek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumedha Pareek

This figure shows the co-authorship network connecting the top 25 collaborators of Sumedha Pareek. A scholar is included among the top collaborators of Sumedha Pareek 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 Sumedha Pareek. Sumedha Pareek 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.
Pareek, Sumedha, Riccardo Ballarò, Darlan Conterno Minussi, et al.. (2023). Aerobic Exercise Alters the Melanoma Microenvironment and Modulates ERK5 S496 Phosphorylation. Cancer Immunology Research. 11(9). 1168–1183. 12 indexed citations
2.
Kurz, Emma, Carolina Alcantara Hirsch, Tanner C. Dalton, et al.. (2022). Exercise-induced engagement of the IL-15/IL-15Rα axis promotes anti-tumor immunity in pancreatic cancer. Cancer Cell. 40(7). 720–737.e5. 146 indexed citations breakdown →
3.
Pareek, Sumedha, Jin Yong Kim, Dohyun Yoo, et al.. (2022). Post Transplantation Bilirubin Nanoparticles Ameliorate Murine Graft Versus Host Disease via a Reduction of Systemic and Local Inflammation. Frontiers in Immunology. 13. 893659–893659. 9 indexed citations
4.
Maegawa, Shinji, Riccardo Ballarò, Sumedha Pareek, et al.. (2022). Exercise Promotes Pro-Apoptotic Ceramide Signaling in a Mouse Melanoma Model. Cancers. 14(17). 4306–4306. 8 indexed citations
5.
6.
Diaz, Miguel F., et al.. (2020). Ex Vivo Modeling of Hematopoietic Stem Cell Homing to the Fetal Liver. Methods in molecular biology. 2346. 35–50. 2 indexed citations
7.
Im, Jin S., Sumedha Pareek, Sijie Lu, et al.. (2019). A Novel T-Cell Engaging Bi-specific Antibody Targeting the Leukemia Antigen PR1/HLA-A2. Frontiers in Immunology. 9. 3153–3153. 13 indexed citations
8.
Guerra, Germano, Daniele Avanzato, Valentina Poletto, et al.. (2014). Hydrogen sulphide triggers VEGF-induced intracellular Ca2+ signals in human endothelial cells but not in their immature progenitors. Cell Calcium. 56(3). 225–234. 57 indexed citations
9.
Dragoni, Silvia, Umberto Laforenza, Elisa Bonetti, et al.. (2014). Enhanced Expression of Stim, Orai, and TRPC Transcripts and Proteins in Endothelial Progenitor Cells Isolated from Patients with Primary Myelofibrosis. PLoS ONE. 9(3). e91099–e91099. 63 indexed citations
10.
Papiha, S.S., et al.. (1987). HLA-A, B, DR and Bf allotypes in patients with idiopathic membranous nephropathy (IMN). Kidney International. 31(1). 130–134. 21 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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2026