Robert W. Malone

7.9k citations
45 papers · 6.0k indexed · 2 hit papers · h-index 25

Impact in

  • Biotechnology top 0.5%
    • Microbial Inactivation Methods
  • Genetics top 0.5%
    • Virus-based gene therapy research

Papers in

Robert W. Malone

45 papers receiving 5.6k citations

Hit Papers

Direct Gene Transfer into Mouse Muscle in Vivo 1990 · 3.2k citations
3.2k198920262001201310002.0k3.0k

Peers

Robert W. Malone
Comparison fields: 5 of 139
  • Biotechnology 591
  • Genetics 1.8k
  • Immunology 1.3k
  • Molecular Biology 3.9k
  • Infectious Diseases 935
Replace Werner Lubitz with:
Werner Lubitz Austria
Yong Seok Lee South Korea
John R. Stanley United States
Matti Kiupel United States
Ruixue Wang China
Dexiang Chen United States
Juan Pablo Albar Spain
Frédéric Farnir Belgium
Chris A. Benedict United States
John W. Barrett Canada
Robert W. Malone relative to Werner Lubitz Austria Werner Lubitz's profile →
Citations per field
00.5×1.7×
Werner Lubitz · 1×
Citations per year

Countries citing papers authored by Robert W. Malone

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Malone. 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 Robert W. Malone. The network helps show where Robert W. Malone may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202110
3 20189
4 201618
5 2016135
6 201315
7 201172
8 200838
9 200420
10 200210
11 200233
12 2001118
13 200094
14 2000239
15 199912
16 199626
17 199638
18 199624
19 1994189
20 199328

About Robert W. Malone

Robert W. Malone is a scholar working on Environmental Chemistry, Biotechnology, Molecular Biology, Infectious Diseases and Water Science and Technology, having authored 45 papers that have together received 6.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers), Soil and Water Nutrient Dynamics (6 papers), Hydrology and Watershed Management Studies (5 papers), Microbial Inactivation Methods (5 papers), RNA and protein synthesis mechanisms (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Biotechnology (591 citations), Genetics (1.8k citations), Immunology (1.3k citations), Molecular Biology (3.9k citations) and Infectious Diseases (935 citations). Robert W. Malone has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Philip L. Felgner, Chong Wang, Jon A. Wolff, Phillip Williams, Gyula Acsádi, Ágnes Jáni, Inder M. Verma, Jill Glasspool‐Malone, Malcolm J. Bennett and Joseph J. Drabick. Their work appears in journals such as Transactions of the ASABE, Molecular Therapy, Human Gene Therapy, Journal of Biotechnology and Genetics.

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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