E. R. Campbell

561 total citations
8 papers, 401 citations indexed

About

E. R. Campbell is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, E. R. Campbell has authored 8 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Spectroscopy, 5 papers in Biomedical Engineering and 4 papers in Analytical Chemistry. Recurrent topics in E. R. Campbell's work include Analytical Chemistry and Chromatography (6 papers), Chromatography in Natural Products (4 papers) and Influenza Virus Research Studies (2 papers). E. R. Campbell is often cited by papers focused on Analytical Chemistry and Chromatography (6 papers), Chromatography in Natural Products (4 papers) and Influenza Virus Research Studies (2 papers). E. R. Campbell collaborates with scholars based in United States, Hong Kong and Sweden. E. R. Campbell's co-authors include B. E. Richter, Laura Aschenbrenner, Douglas W. Later, Fang Fang, Staffan Schmidt, L. G. Blomberg, Mang Yu, Miles K. Wandersee, Larisa V. Gubareva and Vasiliy P. Mishin and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy and Journal of Chromatographic Science.

In The Last Decade

E. R. Campbell

8 papers receiving 362 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. R. Campbell United States 8 187 162 121 92 69 8 401
Itaru Furuta Japan 12 68 0.4× 28 0.2× 63 0.5× 28 0.3× 94 1.4× 42 337
Masao Umetsu Japan 12 304 1.6× 23 0.1× 15 0.1× 31 0.3× 33 0.5× 29 496
Kai van Hateren Netherlands 11 106 0.6× 36 0.2× 35 0.3× 33 0.4× 174 2.5× 21 401
M. Petsch Austria 13 79 0.4× 66 0.4× 93 0.8× 25 0.3× 33 0.5× 16 348
Tianyi Li China 13 59 0.3× 55 0.3× 37 0.3× 52 0.6× 159 2.3× 27 328
Ellen Roets Belgium 11 31 0.2× 110 0.7× 61 0.5× 72 0.8× 13 0.2× 25 348
C. Gallion France 11 61 0.3× 52 0.3× 32 0.3× 38 0.4× 52 0.8× 15 446
Matthias Becker Germany 7 16 0.1× 49 0.3× 30 0.2× 65 0.7× 88 1.3× 14 307
Peter Schaub Switzerland 6 57 0.3× 19 0.1× 16 0.1× 15 0.2× 23 0.3× 10 186
Thomas Pouplin United Kingdom 10 104 0.6× 24 0.1× 20 0.2× 12 0.1× 123 1.8× 13 320

Countries citing papers authored by E. R. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by E. R. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. R. Campbell. 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 E. R. Campbell. The network helps show where E. R. Campbell may publish in the future.

Co-authorship network of co-authors of E. R. Campbell

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

All Works

8 of 8 papers shown
1.
Triana‐Baltzer, Gallen, Michael C. W. Chan, Adam Chun-Nin Wong, et al.. (2009). DAS181, a sialidase fusion protein, protects human airway epithelium against influenza virus infection: an in vitro pharmacodynamic analysis. Journal of Antimicrobial Chemotherapy. 65(2). 275–284. 52 indexed citations
2.
Malakhov, Michael P., Laura Aschenbrenner, Donald F. Smee, et al.. (2006). Sialidase Fusion Protein as a Novel Broad-Spectrum Inhibitor of Influenza Virus Infection. Antimicrobial Agents and Chemotherapy. 50(4). 1470–1479. 172 indexed citations
3.
Campbell, E. R., et al.. (1992). Studies of Linear Restrictors and Analyte Collection via Solvent Trapping after Supercritical Fluid Extraction. Journal of Chromatographic Science. 30(9). 367–373. 53 indexed citations
4.
Later, Douglas W., et al.. (1989). Analysis of pyrethrins using capillary supercritical fluid chromatography and capillary gas chromatography with fourier transform infrared detection. Journal of High Resolution Chromatography. 12(2). 106–111. 11 indexed citations
5.
Richter, B. E., et al.. (1988). Reproducibility in capillary supercritical fluid chromatography: Comparison of injection techniques. Journal of High Resolution Chromatography. 11(1). 29–32. 30 indexed citations
6.
Schmidt, Staffan, L. G. Blomberg, & E. R. Campbell. (1988). Modifier effects on packed and capillary columns in supercritical fluid chromatography. Chromatographia. 25(9). 775–780. 45 indexed citations
7.
Campbell, E. R., et al.. (1988). Industrial applications of supercritical fluid chromatography: polymer analysis. Fresenius Zeitschrift für Analytische Chemie. 330(3). 225–228. 17 indexed citations
8.
Later, Douglas W., E. R. Campbell, & B. E. Richter. (1988). Synchronized temperature/density programming in capillary supercritical fluid chromatography. Journal of High Resolution Chromatography. 11(1). 65–69. 21 indexed citations

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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