Christopher D. Heger

515 total citations
16 papers, 375 citations indexed

About

Christopher D. Heger is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Christopher D. Heger has authored 16 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Infectious Diseases. Recurrent topics in Christopher D. Heger's work include Protein purification and stability (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Virus-based gene therapy research (2 papers). Christopher D. Heger is often cited by papers focused on Protein purification and stability (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Virus-based gene therapy research (2 papers). Christopher D. Heger collaborates with scholars based in United States, Netherlands and Canada. Christopher D. Heger's co-authors include Paul K. Goldsmith, Juan Juan Yin, Yvona Ward, Maria J. Merino, Mark Raffeld, Kathleen Kelly, Ross Lake, Jiaqi Wu, Janusz Pawliszyn and Yanli Pang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Christopher D. Heger

14 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
Christopher D. Heger United States 8 243 75 74 73 55 16 375
Yelena Pavlova United States 11 437 1.8× 127 1.7× 107 1.4× 109 1.5× 50 0.9× 16 628
Gabriele Heine Germany 7 284 1.2× 30 0.4× 37 0.5× 24 0.3× 31 0.6× 8 434
Dario Caccia Italy 10 181 0.7× 104 1.4× 53 0.7× 37 0.5× 15 0.3× 12 329
Virginia Tajadura United Kingdom 9 350 1.4× 159 2.1× 42 0.6× 33 0.5× 22 0.4× 9 454
Xiaoguang Li United States 9 310 1.3× 90 1.2× 21 0.3× 51 0.7× 25 0.5× 11 421
Veronica Lubkov United States 8 304 1.3× 137 1.8× 136 1.8× 73 1.0× 9 0.2× 10 444
Laura Hubler United States 7 431 1.8× 125 1.7× 95 1.3× 19 0.3× 48 0.9× 8 483
A. Lyndsay Drayer Belgium 7 324 1.3× 182 2.4× 22 0.3× 49 0.7× 19 0.3× 8 437
Rosa Ventrella United States 10 171 0.7× 77 1.0× 35 0.5× 18 0.2× 35 0.6× 17 275
Congwu Chi United States 10 226 0.9× 73 1.0× 41 0.6× 38 0.5× 20 0.4× 13 407

Countries citing papers authored by Christopher D. Heger

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Heger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher D. Heger. 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 Christopher D. Heger. The network helps show where Christopher D. Heger may publish in the future.

Co-authorship network of co-authors of Christopher D. Heger

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

All Works

16 of 16 papers shown
1.
Huang, Sisi, Cheng Zhou, Christopher D. Heger, et al.. (2025). Enabling icIEF Peak Identification of AAV Capsid Proteins by Fractionation on MauriceFlex and Subsequent Analysis by LC–MS. Electrophoresis. 46(1-2). 22–33. 2 indexed citations
2.
Wu, Jiaqi, Benjamin E. Draper, Martin F. Jarrold, & Christopher D. Heger. (2025). Insights into Adeno-Associated Virus Capsid Charge Heterogeneity. Analytical Chemistry. 97(31). 17132–17140. 1 indexed citations
3.
Heger, Christopher D., et al.. (2024). Development of the SupersonicIEF Method for High‐Throughput Charge Variant Analysis. Electrophoresis. 45(21-22). 1968–1975. 3 indexed citations
4.
Heger, Christopher D., Francisco Ramı́rez, Kevin L. Schully, et al.. (2024). Automated and virus variant-programmable surrogate test qualitatively compares to the gold standard SARS-CoV-2 neutralization assay. SHILAP Revista de lepidopterología. 2(1). 68–68.
5.
Ramı́rez, Francisco, et al.. (2023). Development of automated microfluidic immunoassays for the detection of SARS-CoV-2 antibodies and antigen. Journal of Immunological Methods. 524. 113586–113586. 2 indexed citations
6.
Wu, Jiaqi, et al.. (2022). Imaged capillary isoelectric focusing: Applications in the pharmaceutical industry and recent innovations of the technology. TrAC Trends in Analytical Chemistry. 150. 116567–116567. 44 indexed citations
7.
Wu, Jiaqi, Charles H. Haitjema, Christopher D. Heger, & Annegret Boge. (2020). A Proof-of-concept Analysis of Carbohydrate-deficient Transferrin by Imaged Capillary Isoelectric Focusing and In-capillary Immunodetection. BioTechniques. 68(2). 85–90. 5 indexed citations
8.
Flanders, Kathleen C., Christopher D. Heger, Catherine Conway, et al.. (2014). Brightfield Proximity Ligation Assay Reveals Both Canonical and Mixed Transforming Growth Factor-β/Bone Morphogenetic Protein Smad Signaling Complexes in Tissue Sections. Journal of Histochemistry & Cytochemistry. 62(12). 846–863. 14 indexed citations
9.
Boeckmann, Lars, Yoshimitsu Takahashi, Wei-Chun Au, et al.. (2013). Phosphorylation of centromeric histone H3 variant regulates chromosome segregation inSaccharomyces cerevisiae. Molecular Biology of the Cell. 24(12). 2034–2044. 41 indexed citations
10.
Li, Zhaoyang, Yanli Pang, Sudheer Kumar Gara, et al.. (2012). Gr‐1+CD11b+ cells are responsible for tumor promoting effect of TGF‐β in breast cancer progression. International Journal of Cancer. 131(11). 2584–2595. 60 indexed citations
11.
Fleming, Jodie M., Erika Ginsburg, Christopher W. McAndrew, et al.. (2012). Characterization of Δ7/11, a functional prolactin-binding protein. Journal of Molecular Endocrinology. 50(1). 79–90. 5 indexed citations
12.
Ward, Yvona, Ross Lake, Juan Juan Yin, et al.. (2011). LPA Receptor Heterodimerizes with CD97 to Amplify LPA-Initiated RHO-Dependent Signaling and Invasion in Prostate Cancer Cells. Cancer Research. 71(23). 7301–7311. 133 indexed citations
13.
Heger, Christopher D., Christiane D. Wrann, & Ruth Collins. (2011). Phosphorylation Provides a Negative Mode of Regulation for the Yeast Rab GTPase Sec4p. PLoS ONE. 6(9). e24332–e24332. 13 indexed citations
14.
Ginsburg, Erika, Stefanie Alexander, Sarah B. Lieber, et al.. (2010). Characterization of ductal and lobular breast carcinomas using novel prolactin receptor isoform specific antibodies. BMC Cancer. 10(1). 678–678. 10 indexed citations
15.
Rericha, Erin, et al.. (2009). The Group Migration of Dictyostelium Cells Is Regulated by Extracellular Chemoattractant Degradation. Molecular Biology of the Cell. 20(14). 3295–3304. 36 indexed citations
16.
Heger, Christopher D.. (2004). Platelet Activation and "Crossover Appeal": Rab and Rho Families United by Common Links to Serotonin. Molecular Interventions. 4(2). 79–81. 6 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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