Seema Rawal

1.7k total citations · 1 hit paper
17 papers, 1.1k citations indexed

About

Seema Rawal is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology. According to data from OpenAlex, Seema Rawal has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 7 papers in Immunology and 4 papers in Oncology. Recurrent topics in Seema Rawal's work include Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (5 papers) and Pregnancy and preeclampsia studies (3 papers). Seema Rawal is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (5 papers) and Pregnancy and preeclampsia studies (3 papers). Seema Rawal collaborates with scholars based in United States and India. Seema Rawal's co-authors include Sattva S. Neelapu, Fuliang Chu, Chen Dong, Hoyong Lim, Joseph M. Reynolds, Yeonseok Chung, Shinya Tanaka, Gustavo Martínez, Yi-Hong Wang and Roza Nurieva and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Seema Rawal

14 papers receiving 1.1k citations

Hit Papers

Follicular regulatory T cells expressing Foxp3 and Bcl-6 ... 2011 2026 2016 2021 2011 250 500 750
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. Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactions
    2011 877 citations Yeonseok Chung, Shinya Tanaka et al. Nature Medicine profile →

Peers

Seema Rawal
Thi Migone United States
Wim Pierson Belgium
Hoyong Lim United States
Gijs Hardenberg Netherlands
Paul Vink Netherlands
Mayra Senices United States
Ryuta Mukasa Japan
Vicky M. Lentz United States
Paloma Pérez‐Aciego Spain
Karsten W. Eriksen Denmark
Thi Migone United States
Seema Rawal
Citations per year, relative to Seema Rawal Seema Rawal (= 1×) peers Thi Migone

Countries citing papers authored by Seema Rawal

Since Specialization
Citations

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

Fields of papers citing papers by Seema Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Rawal

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

All Works

17 of 17 papers shown
1.
Singh, Shipra, et al.. (2025). The Impact of Maternal Nutrition Status on Maternal and Fetal Outcomes: A Prospective Observational Study. Journal of Pharmacy And Bioallied Sciences. 17(Suppl 1). S346–S349.
2.
Rawal, Seema, et al.. (2024). A comparative study of clinical methods and ultrasound methods for prediction of fetal birth weight at term gestation. SHILAP Revista de lepidopterología. 10(2). 349–356.
3.
Rawal, Seema, et al.. (2024). Correlation Between Ultrasonographic Placental Thickness and Adverse Fetal and Neonatal Outcomes. Cureus. 16(3). e56410–e56410.
4.
Johnson, Faye M., Filip Jankú, Mohamed A. Gouda, et al.. (2022). Inhibition of the Phosphatidylinositol-3 Kinase Pathway Using Bimiralisib in Loss-of-Function NOTCH1-Mutant Head and Neck Cancer. The Oncologist. 27(12). 1004–e926. 14 indexed citations
5.
Cha, Soung-Chul, Hong Qin, Shibichakravarthy Kannan, et al.. (2013). Nonstereotyped Lymphoma B Cell Receptors Recognize Vimentin as a Shared Autoantigen. The Journal of Immunology. 190(9). 4887–4898. 38 indexed citations
6.
Havránek, Ondřej, Jason R. Westin, Min Zhang, et al.. (2013). Integrated Analysis Of Genomic and Gene Expression Profiles In Follicular Lymphoma Reveals Subsets and Driver Genes Of Potential Microenvironmental Importance. Blood. 122(21). 2487–2487. 1 indexed citations
7.
Rawal, Seema, Fuliang Chu, Min Zhang, et al.. (2013). Cross Talk between Follicular Th Cells and Tumor Cells in Human Follicular Lymphoma Promotes Immune Evasion in the Tumor Microenvironment. The Journal of Immunology. 190(12). 6681–6693. 70 indexed citations
8.
Rawal, Seema, Nathan Fowler, Min Zhang, et al.. (2012). Activation of T and NK Cells Following Lenalidomide Therapy in Patients with Follicular Lymphoma.. Blood. 120(21). 2766–2766. 5 indexed citations
9.
Weng, Jinsheng, Seema Rawal, Fuliang Chu, et al.. (2012). TCL1: a shared tumor-associated antigen for immunotherapy against B-cell lymphomas. Blood. 120(8). 1613–1623. 22 indexed citations
10.
Chung, Yeonseok, Shinya Tanaka, Fuliang Chu, et al.. (2011). Follicular regulatory T cells expressing Foxp3 and Bcl-6 suppress germinal center reactions. Nature Medicine. 17(8). 983–988. 877 indexed citations breakdown →
11.
Rawal, Seema, Hyun Jun Park, Fuliang Chu, et al.. (2011). Role of IL-4 in Inducing Immunosuppressive Tumor Microenvironment in Follicular Lymphoma. Blood. 118(21). 771–771. 6 indexed citations
12.
Chu, Fuliang, Wencai Ma, Tomohide Yamazaki, et al.. (2011). PD-1+ T Cell Subsets in Follicular Lymphoma Tumor Microenvironment and Their Implications for Prognosis and Therapy. Blood. 118(21). 2648–2648. 1 indexed citations
13.
Kannan, Shibichakravarthy, Fuliang Chu, Seema Rawal, et al.. (2011). Cross-Talk Between Tumor B Cells, Follicular Dendritic Cells, and Follicular Helper T Cells: Implications for Follicular Lymphoma Pathogenesis and Therapy,. Blood. 118(21). 3696–3696. 1 indexed citations
14.
Qin, Hong, Seema Rawal, Weiguo Wu, et al.. (2010). Non-Stereotypic Follicular Lymphoma B-Cell Receptors Recognize Vimentin as a Shared Autoantigen. Blood. 116(21). 139–139. 2 indexed citations
15.
Rawal, Seema, et al.. (2008). Differential subcellular distribution and colocalization of the microsomal and soluble epoxide hydrolases in cultured neonatal rat brain cortical astrocytes. Journal of Neuroscience Research. 87(1). 218–227. 22 indexed citations
16.
Rawal, Seema, S. Majumdar, & H. Vohra. (2005). Activation of MAPK Kinase pathway by Gal/GalNAc adherence lectin of E. histolytica: Gateway to host response. Molecular and Cellular Biochemistry. 268(1-2). 93–101. 27 indexed citations
17.
Rawal, Seema, S. Majumdar, Veena Dhawan, & H. Vohra. (2004). Entamoeba histolyticaGal/GalNAc lectin depletes antioxidant defences of target epithelial cells. Parasitology. 128(6). 617–624. 10 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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