Laura Gordon

42 papers receiving 852 citations

Peers

Laura Gordon
Comparison fields: 5 of 116
  • Immunology 135
  • Industrial and Manufacturing Engineering 57
  • Cell Biology 98
  • Inorganic Chemistry 85
  • Neurology 35
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J. Papp Hungary
Jingjing Song China
Huiwen Chen China
Yasushi Inoue Japan
Xiaorui Liu China
Tomofumi Hamada Japan
Meenu Sharma India
Eric N. Kaufman United States
Mohamed M. Omran Egypt
Laura Gordon relative to J. Papp Hungary J. Papp's profile →
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Countries citing papers authored by Laura Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Laura Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007114
2 200482
3 201061
4 200950
5 200148
6 200048
7 200544
8 201434
9 201033
10 201130
11 200027
12 201026
13 199926
14 200226
15 200125
16 195524
17 200524
18 201420
19
Soluble tumor necrosis factor receptors are increased in hemodialysis patients.
199417
20 201114

About Laura Gordon

Laura Gordon is a scholar working on Molecular Biology, Civil and Structural Engineering, Materials Chemistry, Industrial and Manufacturing Engineering and Inorganic Chemistry, having authored 42 papers that have together received 887 indexed citations. Recurring topics across this work include Concrete and Cement Materials Research (6 papers), Chemical Synthesis and Characterization (5 papers), Neonatal and fetal brain pathology (4 papers), Magnesium Oxide Properties and Applications (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (135 citations), Industrial and Manufacturing Engineering (57 citations), Cell Biology (98 citations), Inorganic Chemistry (85 citations) and Neurology (35 citations). Laura Gordon has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include William T. A. Harrison, Ana M.R. Pilosof, Geoffrey Clark, Hiram C. Polk, Howard Donninger, Michele D. Vos, Michael J. Birrer, Farida Latif, Pamela W. Feldhoff and Nadia P.C. Allen. Their work appears in journals such as ASAIO Journal, Experimental Biology and Medicine, International journal of greenhouse gas control, Clinical & Experimental Immunology and BMJ Open.

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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