Joan G. Schellinger

766 citations
19 papers · 659 indexed · h-index 14
Topics
RNA Interference and Gene Delivery (13 papers)Advanced biosensing and bioanalysis techniques (10 papers)Click Chemistry and Applications (2 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Joan G. Schellinger

19 papers receiving 656 citations

Peers

Joan G. Schellinger
Comparison fields: 5 of 72
  • Molecular Biology 458
  • Biomaterials 161
  • Organic Chemistry 130
  • Genetics 115
  • Biomedical Engineering 98
Replace Julie Shi with:
Julie Shi United States
Tanja Buś Germany
Jong Sang Park South Korea
Lane V. Christensen United States
Daniel Edinger Germany
Jong-Sang Park South Korea
Joseph K. Hexum United States
Yemin Liu United States
Ramya Kumar United States
Rishad J. Dalal United States
Joan G. Schellinger relative to Julie Shi United States Julie Shi's profile →
Citations per field
00.5×1.7×
Julie Shi · 1×
Citations per year

Countries citing papers authored by Joan G. Schellinger

Since Specialization
Citations

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

Fields of papers citing papers by Joan G. Schellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan G. Schellinger. 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 Joan G. Schellinger. The network helps show where Joan G. Schellinger may publish in the future.

Co-authorship network of co-authors of Joan G. Schellinger

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 3
3 2
4 57
5 16
6 32
7 32
8 11
9 65
10 57
11 20
12 54
13 59
14 103
15 22
16 70
17 11
18 22
19 21

About Joan G. Schellinger

Joan G. Schellinger is a scholar working on Molecular Biology, Biomaterials and Microbiology, having authored 19 papers that have together received 659 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Biomaterials (161 citations), Molecular Biology (458 citations) and Polymers and Plastics (88 citations). Joan G. Schellinger has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Suzie H. Pun, Julie Shi, David S.H. Chu, Russell Johnson, Patrick S. Stayton, Anthony J. Convertine, Peter M. Carlson, Jennifer L. Choi, Hua Wei and Joshuel A. Pahang. Their work appears in journals such as Journal of the American Chemical Society, Accounts of Chemical Research and ACS Nano.

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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