Naomi Laing

75 total papers · 1.2k total citations
31 papers, 800 citations indexed

About

Naomi Laing is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Naomi Laing has authored 31 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Naomi Laing's work include Estrogen and related hormone effects (4 papers), Cancer Genomics and Diagnostics (4 papers) and Peptidase Inhibition and Analysis (3 papers). Naomi Laing is often cited by papers focused on Estrogen and related hormone effects (4 papers), Cancer Genomics and Diagnostics (4 papers) and Peptidase Inhibition and Analysis (3 papers). Naomi Laing collaborates with scholars based in United States, United Kingdom and Israel. Naomi Laing's co-authors include Kenneth D. Tew, Linda R. Barone, L A Speicher, Siqing Fu, Sulabha Ranganathan, Yung‐Jue Bang, Gu Mi, Talia Golan, Beryl Hartley‐Asp and Björn Dahllöf and has published in prestigious journals such as Journal of Clinical Oncology, Nature reviews. Cancer and Blood.

In The Last Decade

Naomi Laing

30 papers receiving 792 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Naomi Laing 451 363 180 130 87 31 800
Mónica Musteanu 548 1.2× 407 1.1× 145 0.8× 180 1.4× 73 0.8× 32 962
Kenji Kitazato 295 0.7× 320 0.9× 157 0.9× 103 0.8× 60 0.7× 33 812
Raymond Wadlow 485 1.1× 483 1.3× 179 1.0× 196 1.5× 50 0.6× 36 943
Bea Pauwels 355 0.8× 438 1.2× 209 1.2× 188 1.4× 64 0.7× 30 946
A. Craig Lockhart 475 1.1× 520 1.4× 260 1.4× 232 1.8× 82 0.9× 49 1.0k
Mingsheng Zhang 388 0.9× 578 1.6× 184 1.0× 238 1.8× 115 1.3× 29 1.0k
Carla Kurkjian 300 0.7× 478 1.3× 156 0.9× 130 1.0× 39 0.4× 41 825
Ben Allal 347 0.8× 488 1.3× 133 0.7× 140 1.1× 56 0.6× 32 917
Hisao Fukumoto 431 1.0× 586 1.6× 193 1.1× 130 1.0× 58 0.7× 30 1.0k
Martin Zweifel 228 0.5× 339 0.9× 118 0.7× 167 1.3× 45 0.5× 36 974

Countries citing papers authored by Naomi Laing

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Laing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Laing

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Laing. A scholar is included among the top collaborators of Naomi Laing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naomi Laing. Naomi Laing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026