Mark Ingram

1.3k citations
7 papers · 1.2k · 1 hit paper · h-index 7

Impact in

    • Advanced Glycation End Products research
  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune cells in cancer
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

Mark Ingram

7 papers receiving 1.2k citations

Mark Ingram's Hit Papers

Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastases 2000 · 1.1k citations
1.1k0+8+17Years since publication2505007501000

Peers

Mark Ingram
Comparison fields: 5 of 90
  • Clinical Biochemistry 807
  • Immunology 266
  • Endocrinology, Diabetes and Metabolism 154
  • Neurology 67
  • Molecular Biology 400
Replace H. Christian Volz with:
H. Christian Volz Germany
Adrienne Laskowski Australia
Wanchao Ma United States
Shiyong Yu China
Cheng-Mao Lin United States
Zhengbin Zhu China
Elena D’Amato Italy
Zhong’e Zhou China
Tatsuro Kitahara Japan
Finny Monickaraj United States
Mark Ingram relative to H. Christian Volz Germany H. Christian Volz's profile →
Citations per field
00.5×1.5×1.9×
H. Christian Volz · 1×
Citations per year

Countries citing papers authored by Mark Ingram

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ingram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Blockade of RAGE–amphoterin signalling suppresses tumour growth and metastases
Hit paper breakdown →
20001077
2 200528
3 199922
4 200821
5 199914
6 20059
7 20069

About Mark Ingram

Mark Ingram is a scholar working on Condensed Matter Physics, Biomedical Engineering, Molecular Biology, Immunology and Mechanical Engineering, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soft Robotics and Applications (3 papers), Micro and Nano Robotics (3 papers), Modular Robots and Swarm Intelligence (2 papers), Advanced Glycation End Products research (1 paper), Neuroscience and Neural Engineering (1 paper), S100 Proteins and Annexins (1 paper), T-cell and B-cell Immunology (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Clinical Biochemistry (807 citations), Immunology (266 citations), Endocrinology, Diabetes and Metabolism (154 citations), Neurology (67 citations) and Molecular Biology (400 citations). Mark Ingram has collaborated with scholars based in United States and Japan. Frequent co-authors include Wu Qu, Nozomu Tanji, Ann Marie Schmidt, M. Hofmann, Akihiko Taguchi, Yan Lu, G. Del Toro, Evanthia Lalla, David M. Stern and Satoshi Ogawa. Their work appears in journals such as Journal of Mechanisms and Robotics, BioMedical Engineering OnLine, Journal of Pediatric Surgery, Transplantation and Nature.

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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