Greg Conn

2.3k total citations
18 papers, 1.3k citations indexed

About

Greg Conn is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Greg Conn has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Greg Conn's work include Cancer, Hypoxia, and Metabolism (6 papers), Immunotherapy and Immune Responses (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Greg Conn is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Immunotherapy and Immune Responses (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Greg Conn collaborates with scholars based in United States. Greg Conn's co-authors include Kenneth A. Thomas, Victor B. Hatcher, D.D. Soderman, Marvin Bayne, Kathleen A. Sullivan, Guillermo Giménez‐Gallego, Marie‐Therese Schaeffer, Denis D. Soderman, Jerry DiSalvo and John A. Kessler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Greg Conn

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Greg Conn United States 12 952 315 180 171 161 18 1.3k
Tom T. Chen United States 7 898 0.9× 261 0.8× 170 0.9× 202 1.2× 117 0.7× 9 1.4k
Daniel Sherman United States 10 1.1k 1.1× 338 1.1× 252 1.4× 201 1.2× 237 1.5× 13 1.6k
Virginie Mattot France 22 1.1k 1.2× 455 1.4× 286 1.6× 143 0.8× 168 1.0× 35 1.7k
D. Feng United States 7 819 0.9× 345 1.1× 277 1.5× 83 0.5× 128 0.8× 10 1.3k
Berit Olofsson France 13 1.1k 1.1× 195 0.6× 333 1.9× 383 2.2× 99 0.6× 23 1.4k
Norbert Schuster Germany 17 1.1k 1.2× 253 0.8× 419 2.3× 158 0.9× 114 0.7× 18 1.6k
William Benedict United States 6 912 1.0× 295 0.9× 267 1.5× 136 0.8× 57 0.4× 9 1.7k
J K Anderson United States 13 949 1.0× 148 0.5× 212 1.2× 158 0.9× 79 0.5× 21 1.4k
Tam How United States 19 1.2k 1.3× 235 0.7× 439 2.4× 245 1.4× 131 0.8× 24 1.6k
Michael I. Dorrell United States 25 1.7k 1.8× 285 0.9× 192 1.1× 251 1.5× 263 1.6× 32 2.9k

Countries citing papers authored by Greg Conn

Since Specialization
Citations

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

Fields of papers citing papers by Greg Conn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Conn

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

All Works

18 of 18 papers shown
1.
Gandhapudi, Siva K., Karuna Sundarapandiyan, Lauren V. Wood, et al.. (2023). Recombinant Protein Vaccines Formulated with Enantio-Specific Cationic Lipid R-DOTAP Induce Protective Cellular and Antibody-Mediated Immune Responses in Mice. Viruses. 15(2). 432–432. 8 indexed citations
2.
3.
Gandhapudi, Siva K., Karuna Sundarapandiyan, Afsheen Fatima, et al.. (2022). Abstract B24: Development of targeted T-cell cancer immunotherapies based on a novel enantiomeric cationic lipid that promotes antigen cross-presentation and upregulation of type I interferons. Cancer Immunology Research. 10(12_Supplement). B24–B24. 1 indexed citations
4.
Gandhapudi, Siva K., et al.. (2019). Antigen Priming with Enantiospecific Cationic Lipid Nanoparticles Induces Potent Antitumor CTL Responses through Novel Induction of a Type I IFN Response. The Journal of Immunology. 202(12). 3524–3536. 42 indexed citations
5.
Williams, Christie E., et al.. (2004). Ion chromatographic quantification of cyanate in urea solutions: estimation of the efficiency of cyanate scavengers for use in recombinant protein manufacturing. Journal of Chromatography B. 803(2). 353–362. 29 indexed citations
6.
7.
Hayenga, Kirk, et al.. (2003). Monitoring EDTA process residuals in recombinant protein manufacturing using liquid chromatography. Journal of Chromatography B. 792(2). 205–215. 2 indexed citations
8.
Wan, Min, et al.. (2002). An enzyme-linked immunosorbent assay for host cell protein contaminants in recombinant PEGylated staphylokinase mutant SY161. Journal of Pharmaceutical and Biomedical Analysis. 28(5). 953–963. 10 indexed citations
9.
Wong, Vivien, et al.. (1997). Hepatocyte Growth Factor Promotes Motor Neuron Survival and Synergizes with Ciliary Neurotrophic Factor. Journal of Biological Chemistry. 272(8). 5187–5191. 84 indexed citations
10.
DiSalvo, Jerry, Marvin Bayne, Greg Conn, et al.. (1995). Purification and Characterization of a Naturally Occurring Vascular Endothelial Growth Factor · Placenta Growth Factor Heterodimer. Journal of Biological Chemistry. 270(13). 7717–7723. 244 indexed citations
11.
Conn, Greg, et al.. (1990). Purification of a glycoprotein vascular endothelial cell mitogen from a rat glioma-derived cell line.. Proceedings of the National Academy of Sciences. 87(4). 1323–1327. 202 indexed citations
12.
Conn, Greg, et al.. (1990). Amino acid and cDNA sequences of a vascular endothelial cell mitogen that is homologous to platelet-derived growth factor.. Proceedings of the National Academy of Sciences. 87(7). 2628–2632. 321 indexed citations
13.
Conn, Greg, et al.. (1989). Extracellular matrix heparan sulfate proteoglycans modulate the mitogenic capacity of acidic fibroblast growth factor. Journal of Cellular Physiology. 140(3). 584–592. 53 indexed citations
14.
Kessler, John A., Greg Conn, & Victor B. Hatcher. (1986). Isolated plasma membranes regulate neurotransmitter expression and facilitate effects of a soluble brain cholinergic factor.. Proceedings of the National Academy of Sciences. 83(10). 3528–3532. 60 indexed citations
15.
Giménez‐Gallego, Guillermo, Greg Conn, Victor B. Hatcher, & Kenneth A. Thomas. (1986). The complete amino acid sequence of human brain-derived acidic fibroblast growth factor. Biochemical and Biophysical Research Communications. 138(2). 611–617. 74 indexed citations
16.
Giménez‐Gallego, Guillermo, Greg Conn, Victor B. Hatcher, & Kenneth A. Thomas. (1986). Human brain-derived acidic and basic fibroblast growth factors: Amino terminal sequences and specific mitogenic activities. Biochemical and Biophysical Research Communications. 135(2). 541–548. 96 indexed citations
17.
18.
Conn, Greg & Victor B. Hatcher. (1984). The isolation and purification of two anionic endothelial cell growth factors from human brain. Biochemical and Biophysical Research Communications. 124(1). 262–268. 58 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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