M. Laird Forrest

8.2k citations
109 papers · 6.5k indexed · 2 hit papers · h-index 37

M. Laird Forrest

107 papers receiving 6.4k citations

Hit Papers

Toxicity of nanomaterials1.1k20092026201420202505007501000

Peers

M. Laird Forrest
Comparison fields: 5 of 157
  • Biomaterials 1.7k
  • Pharmaceutical Science 511
  • Biomedical Engineering 1.8k
  • Molecular Biology 2.5k
  • Materials Chemistry 1.5k
Replace Yu Gao with:
Yu Gao China
Rebecca M. Haley United States
Guping Tang China
Yuxia Luan China
Marissa E. Wechsler United States
Khaled Greish Bahrain
Khuloud T. Al‐Jamal United Kingdom
Jing Li China
Ki Young Choi South Korea
M. Laird Forrest relative to Yu Gao China Yu Gao's profile →
Citations per field
00.5×1.5×
Yu Gao · 1×
Citations per year

Countries citing papers authored by M. Laird Forrest

Since Specialization
Citations

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

Fields of papers citing papers by M. Laird Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Laird Forrest. 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 M. Laird Forrest. The network helps show where M. Laird Forrest may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20243
3 20236
4 20224
5 202023
6 201930
7 201834
8 201710
9 201512
10 201533
11 201410
12 201418
13 201317
14 201329
15 201244
16 2012138
17 201025
18 2008238
19 200842
20 200736

About M. Laird Forrest

M. Laird Forrest is a scholar working on Biomaterials, Pharmaceutical Science and Oncology, having authored 109 papers that have together received 6.5k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (18 papers), Nanoparticle-Based Drug Delivery (17 papers), Nanoplatforms for cancer theranostics (15 papers), Immunotherapy and Immune Responses (12 papers), Advanced biosensing and bioanalysis techniques (10 papers), Cancer Treatment and Pharmacology (9 papers), Virus-based gene therapy research (8 papers) and Photoacoustic and Ultrasonic Imaging (7 papers). The work is most often cited by research in Biomaterials (1.7k citations), Pharmaceutical Science (511 citations) and Biomedical Engineering (1.8k citations). M. Laird Forrest has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Daniel W. Pack, Neal M. Davies, Yumei Xie, Cory Berkland, Glen S. Kwon, Shuang Cai, Pieter Stroeve, Sophie Laurent, Shahriar Sharifi and Morteza Mahmoudi. Their work appears in journals such as Journal of Pharmaceutical Sciences, Journal of Controlled Release, Molecular Pharmaceutics, Advanced Drug Delivery Reviews and Pharmaceutical Research.

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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