M. Laird Forrest

8.2k citations
109 papers · 6.5k indexed · 2 hit papers · h-index 37
Topics
RNA Interference and Gene Delivery (18 papers)Nanoparticle-Based Drug Delivery (17 papers)Nanoplatforms for cancer theranostics (15 papers)
Journals
Chemical Society ReviewsJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
United StatesCanadaChina

In The Last Decade

M. Laird Forrest

107 papers receiving 6.4k citations

Hit Papers

Toxicity of nanomaterials2009202620142020201120092505007501000

Peers

M. Laird Forrest
Comparison fields: 5 of 157
  • Molecular Biology 2.5k
  • Biomedical Engineering 1.8k
  • Biomaterials 1.7k
  • Materials Chemistry 1.5k
  • Oncology 632
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 of co-authors of M. Laird Forrest

This figure shows the co-authorship network connecting the top 25 collaborators of M. Laird Forrest. A scholar is included among the top collaborators of M. Laird Forrest 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 M. Laird Forrest. M. Laird Forrest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 3
3 6
4 4
5 23
6 30
7 34
8 10
9 12
10 33
11 10
12 18
13 17
14 29
15 44
16 138
17 25
18 238
19 42
20 36

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) and Nanoplatforms for cancer theranostics (15 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 Chemical Society Reviews, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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