Poorva Mudgal

3.5k citations
8 papers · 330 · 1 hit paper · h-index 7

Impact in

Papers in

    • CAR-T cell therapy research 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer Cells and Metastasis 1
    • Renal Diseases and Glomerulopathies 3
    • Chronic Kidney Disease and Diabetes 3

Poorva Mudgal

7 papers receiving 323 citations

Poorva Mudgal's Hit Papers

Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression 2022 · 165 citations
1650+1+2Years since publication50100150

Peers

Poorva Mudgal
Comparison fields: 5 of 70
  • Nephrology 93
  • Biological Psychiatry 19
  • Genetics 47
  • Psychiatry and Mental health 60
  • Immunology 65
Replace Ólafur Jensson with:
Ólafur Jensson Iceland
Kinga Buraczyńska Poland
Sean R. Campbell United States
Paola Cuccarolo Italy
Eva M. Pastor‐Arroyo Switzerland
Torben A. Kruse Denmark
Sunny Malhotra Spain
Takanobu Ubai Japan
Salvatore Miceli Italy
María Álvarez‐Satta Spain
Poorva Mudgal relative to Ólafur Jensson Iceland Ólafur Jensson's profile →
Citations per field
00.5×10×15×17.8×
Ólafur Jensson · 1×
Citations per year

Countries citing papers authored by Poorva Mudgal

Since Specialization
Citations

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

Fields of papers citing papers by Poorva Mudgal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Poorva Mudgal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Poorva Mudgal Line = papers co-authored together Poorva Mudgal links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Cancer-cell-derived GABA promotes β-catenin-mediated tumour growth and immunosuppression
Hit paper breakdown →
2022165
2 201858
3 201441
4 201624
5 202023
6 202410
7 20219
8 20250

About Poorva Mudgal

Poorva Mudgal is a scholar working on Oncology, Nephrology, Immunology, Molecular Biology and Genetics, having authored 8 papers that have together received 330 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), CAR-T cell therapy research (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer Cells and Metastasis (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Nephrology (93 citations), Biological Psychiatry (19 citations), Genetics (47 citations), Psychiatry and Mental health (60 citations) and Immunology (65 citations). Poorva Mudgal has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Peter B. Alexander, Qi-Jing Li, Haiyang Wu, Xiao‐Fan Wang, Yaosi Liang, Ying Wan, Tao Yin, De Huang, Lianmei Tan and Donald W. Bowden. Their work appears in journals such as OncoImmunology, Cancer Research, Nature Cell Biology, Human Genetics and Nature Communications.

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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