Lisa A. Madge

3.8k citations
25 papers · 3.2k indexed · 2 hit papers · h-index 21

Lisa A. Madge

25 papers receiving 3.1k citations

Hit Papers

Selective Inhibition of NF-κB Activation by a Peptide Tha...59919982026200720162505007501000

Peers

Lisa A. Madge
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 628
  • Cancer Research 911
  • Immunology 1.0k
  • Immunology and Allergy 140
  • Physiology 543
Replace Gopal Murugaiyan with:
Gopal Murugaiyan United States
Daisuke Kamimura Japan
Christiane Ferran United States
Minna Woo Canada
Sushil G. Rane United States
Rémi-Martin Laberge United States
P H Pekala United States
Nancy A. Louis United States
Alex J. Freemerman United States
Katrina M. Comerford United States
Lisa A. Madge relative to Gopal Murugaiyan United States Gopal Murugaiyan's profile →
Citations per field
00.5×4.2×
Gopal Murugaiyan · 1×
Citations per year

Countries citing papers authored by Lisa A. Madge

Since Specialization
Citations

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

Fields of papers citing papers by Lisa A. Madge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa A. Madge. 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 Lisa A. Madge. The network helps show where Lisa A. Madge may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lisa A. Madge, 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 Lisa A. Madge Line = papers co-authored together Lisa A. Madge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201844
2 201652
3 201116
4 201045
5 200933
6 200912
7 2008159
8 200725
9 200771
10 200741
11 200448
12 200411
13 200354
14 200256
15 200180
16 2001262
17 200067
18 2000189
19 199958
20
Biological Action of Leptin as an Angiogenic Factorbreakdown →
19981138

About Lisa A. Madge

Lisa A. Madge is a scholar working on Cancer Research, Immunology and Sensory Systems, having authored 25 papers that have together received 3.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (15 papers), Immune Response and Inflammation (14 papers), Cell death mechanisms and regulation (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (4 papers), IL-33, ST2, and ILC Pathways (2 papers), Ion Channels and Receptors (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (628 citations), Cancer Research (911 citations) and Immunology (1.0k citations). Lisa A. Madge has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jordan S. Pober, Michael J. May, M. Rocı́o Sierra-Honigmann, Jeffrey S. Schechner, Sankar Ghosh, Peter J. Polverini, Andreas Papapetropoulos, Guillermo García‐Cardeña, Anjali K. Nath and Chiaki Murakami. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

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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