Ranjna Madan-Lala

546 total citations
8 papers, 405 citations indexed

About

Ranjna Madan-Lala is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ranjna Madan-Lala has authored 8 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Ranjna Madan-Lala's work include Tuberculosis Research and Epidemiology (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (2 papers). Ranjna Madan-Lala is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Immunotherapy and Immune Responses (4 papers) and Immune Response and Inflammation (2 papers). Ranjna Madan-Lala collaborates with scholars based in United States and Germany. Ranjna Madan-Lala's co-authors include Jyothi Rengarajan, Jonathan Kevin Sia, Krishnendu Roy, Pallab Pradhan, Maria Georgieva, Cory M. Robinson, Franz‐Christoph Bange, Joo‐Yong Jung, Charles D. Sohaskey and Fabio Re and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Scientific Reports.

In The Last Decade

Ranjna Madan-Lala

8 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranjna Madan-Lala United States 8 231 191 172 107 28 8 405
Erik Van Dis United States 11 237 1.0× 250 1.3× 158 0.9× 129 1.2× 29 1.0× 13 470
Lisa Heitmann Germany 7 190 0.8× 196 1.0× 144 0.8× 59 0.6× 35 1.3× 7 356
Adeliane Castro da Costa Brazil 10 189 0.8× 181 0.9× 106 0.6× 92 0.9× 20 0.7× 23 371
Natalia Castro-Lopez United States 11 219 0.9× 214 1.1× 275 1.6× 80 0.7× 14 0.5× 19 471
Kapilan Kugathasan Canada 10 163 0.7× 279 1.5× 161 0.9× 61 0.6× 22 0.8× 10 440
Chiau‐Jing Jung Taiwan 11 119 0.5× 130 0.7× 183 1.1× 142 1.3× 12 0.4× 22 453
Javeed Ahmad India 12 182 0.8× 102 0.5× 141 0.8× 120 1.1× 27 1.0× 22 346
Sheetal Verma United States 11 273 1.2× 116 0.6× 142 0.8× 117 1.1× 38 1.4× 25 409
Eric Tibesar United States 4 230 1.0× 222 1.2× 253 1.5× 115 1.1× 44 1.6× 7 495
Laëtitia Breuilh France 7 129 0.6× 275 1.4× 132 0.8× 104 1.0× 21 0.8× 7 478

Countries citing papers authored by Ranjna Madan-Lala

Since Specialization
Citations

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

Fields of papers citing papers by Ranjna Madan-Lala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ranjna Madan-Lala. 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 Ranjna Madan-Lala. The network helps show where Ranjna Madan-Lala may publish in the future.

Co-authorship network of co-authors of Ranjna Madan-Lala

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

All Works

8 of 8 papers shown
1.
Sia, Jonathan Kevin, et al.. (2017). Engaging the CD40-CD40L pathway augments T-helper cell responses and improves control of Mycobacterium tuberculosis infection. PLoS Pathogens. 13(8). e1006530–e1006530. 53 indexed citations
2.
Madan-Lala, Ranjna, Pallab Pradhan, & Krishnendu Roy. (2017). Combinatorial Delivery of Dual and Triple TLR Agonists via Polymeric Pathogen-like Particles Synergistically Enhances Innate and Adaptive Immune Responses. Scientific Reports. 7(1). 2530–2530. 64 indexed citations
3.
Georgieva, Maria, et al.. (2017). Mycobacterium tuberculosis GroEL2 Modulates Dendritic Cell Responses. Infection and Immunity. 86(2). 34 indexed citations
4.
Lee, Sujin, Minh-Thuy Nguyen, Michael G. Currier, et al.. (2016). A polyvalent inactivated rhinovirus vaccine is broadly immunogenic in rhesus macaques. Nature Communications. 7(1). 12838–12838. 45 indexed citations
5.
Georgieva, Maria, Ranjna Madan-Lala, Lauren Dong, et al.. (2014). Mycobacterium tuberculosis Hip1 Modulates Macrophage Responses through Proteolysis of GroEL2. PLoS Pathogens. 10(5). e1004132–e1004132. 35 indexed citations
6.
Madan-Lala, Ranjna, Jonathan Kevin Sia, Rebecca King, et al.. (2014). Mycobacterium tuberculosis Impairs Dendritic Cell Functions through the Serine Hydrolase Hip1. The Journal of Immunology. 192(9). 4263–4272. 57 indexed citations
7.
Jung, Joo‐Yong, Ranjna Madan-Lala, Maria Georgieva, et al.. (2013). The Intracellular Environment of Human Macrophages That Produce Nitric Oxide Promotes Growth of Mycobacteria. Infection and Immunity. 81(9). 3198–3209. 77 indexed citations
8.
Madan-Lala, Ranjna, et al.. (2011). Mycobacterium tuberculosis Hip1 Dampens Macrophage Proinflammatory Responses by Limiting Toll-Like Receptor 2 Activation. Infection and Immunity. 79(12). 4828–4838. 40 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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