Christopher Lawlor

763 citations
7 papers · 548 · h-index 4

Impact in

Papers in

    • Congenital Diaphragmatic Hernia Studies 1
    • Nasal Surgery and Airway Studies 1
    • Melanoma and MAPK Pathways 1
    • ATP Synthase and ATPases Research 1

Christopher Lawlor

7 papers receiving 537 citations

Peers

Christopher Lawlor
Comparison fields: 5 of 75
  • Genetics 168
  • Cancer Research 107
  • Molecular Biology 332
  • Oncology 110
  • Clinical Biochemistry 25
Replace Victoria Wang with:
Victoria Wang United States
N. Horvath United States
Tanja A. Grüber United States
N. Fehse Germany
Marwan Yared United States
L. Schwartzberg United States
Carolina Moreno Brazil
Edit Porpaczy Austria
Naoko Watanabe‐Okochi Japan
Michael F. Guerrera United States
Christopher Lawlor relative to Victoria Wang United States Victoria Wang's profile →
Citations per field
00.5×8.3×
Victoria Wang · 1×
Citations per year

Countries citing papers authored by Christopher Lawlor

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Lawlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2001334
2
Overexpression of the EGFR/FKBP12/HIF-2alpha pathway identified in childhood astrocytomas by angiogenesis gene profiling.
2003106
3 200580
4 202123
5
従来の精神科病棟と比較した女性用クライシスハウスへの入院の効果および対費用効果:パイロット患者嗜好性無作為比較試験 | 文献情報 | J-GLOBAL 科学技術総合リンクセンター
20102
6 20242
7 20211

About Christopher Lawlor

Christopher Lawlor is a scholar working on Surgery, Molecular Biology, Oncology, Otorhinolaryngology and Genetics, having authored 7 papers that have together received 548 indexed citations. Recurring topics across this work include Congenital Diaphragmatic Hernia Studies (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Melanoma and MAPK Pathways (1 paper), ATP Synthase and ATPases Research (1 paper), Cell Adhesion Molecules Research (1 paper), Family Support in Illness (1 paper), Nasal Surgery and Airway Studies (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Genetics (168 citations), Cancer Research (107 citations), Molecular Biology (332 citations), Oncology (110 citations) and Clinical Biochemistry (25 citations). Christopher Lawlor has collaborated with scholars based in United States. Frequent co-authors include Kevin M. Brown, Tobey J. MacDonald, Bonnie LaFleur, Dietrich Stephan, Roger J. Packer, Philip H. Cogen, Yidong Chen, Devin Dressman, Maria Rita Santi and Soumen Khatua. Their work appears in journals such as Pediatric Critical Care Medicine, Nature Genetics, Journal of Pediatric and Adolescent Gynecology, Rhinology Journal and The British Journal of Psychiatry.

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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