Patrick Trapa

1.5k citations
28 papers · 1.0k · h-index 19

Impact in

Papers in

Patrick Trapa

28 papers receiving 981 citations

Peers

Patrick Trapa
Comparison fields: 5 of 96
  • Polymers and Plastics 252
  • Pharmacology 113
  • Automotive Engineering 124
  • Biological Psychiatry 21
  • Electrical and Electronic Engineering 468
Replace Prashant Deshmukh with:
Prashant Deshmukh India
You Jung Kang South Korea
Shunhua Li China
Gengxin Liu China
Shuai Xu China
Andre Hermans United States
Eddy Sotelo Spain
Bong Lee South Korea
Feifei Jia China
Patrick Trapa relative to Prashant Deshmukh India Prashant Deshmukh's profile →
Citations per field
00.5×10×15×17.7×
Prashant Deshmukh · 1×
Citations per year

Countries citing papers authored by Patrick Trapa

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Trapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004116
2 200491
3 200189
4 201283
5 200482
6 200280
7 201153
8 200248
9 201445
10 202340
11 200532
12 201631
13 201930
14 201229
15 201724
16 201921
17 201420
18 202020
19 202418
20 202114

About Patrick Trapa

Patrick Trapa is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Pharmacology, Cellular and Molecular Neuroscience and Oncology, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (8 papers), Conducting polymers and applications (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Advancements in Battery Materials (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Tryptophan and brain disorders (3 papers), Fuel Cells and Related Materials (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Polymers and Plastics (252 citations), Pharmacology (113 citations), Automotive Engineering (124 citations), Biological Psychiatry (21 citations) and Electrical and Electronic Engineering (468 citations). Patrick Trapa has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Donald R. Sadoway, Anne M. Mayes, Biying Huang, You‐Yeon Won, Li Di, Philip P. Soo, Solar C. Olugebefola, Sang‐Woog Ryu, Juan A. González-León and Tristan S. Maurer. Their work appears in journals such as Journal of The Electrochemical Society, Journal of Pharmaceutical Sciences, Drug Metabolism and Disposition, Journal of Medicinal Chemistry and ACS Chemical Neuroscience.

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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