C.v. Herst

782 total citations
27 papers, 594 citations indexed

About

C.v. Herst is a scholar working on Molecular Biology, Psychiatry and Mental health and Immunology. According to data from OpenAlex, C.v. Herst has authored 27 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Psychiatry and Mental health and 6 papers in Immunology. Recurrent topics in C.v. Herst's work include Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), vaccines and immunoinformatics approaches (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). C.v. Herst is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (7 papers), vaccines and immunoinformatics approaches (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). C.v. Herst collaborates with scholars based in United States, Belgium and Brazil. C.v. Herst's co-authors include Helen R. Salwen, Susan L. Cohn, Steven T. Rosen, Reid Rubsamen, Kenny De Meirleir, Patrick Englebienne, Robert J. Marder, Helen S. Maurer, Michelle M. Le Beau and Paul E. Harris and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and International Journal of Molecular Sciences.

In The Last Decade

C.v. Herst

26 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C.v. Herst United States 13 209 143 142 116 104 27 594
Shivan Chetty South Africa 12 164 0.8× 86 0.6× 72 0.5× 173 1.5× 170 1.6× 20 677
David J. Mock United States 14 108 0.5× 220 1.5× 49 0.3× 35 0.3× 112 1.1× 23 725
Virginia de las Heras Spain 17 104 0.5× 194 1.4× 42 0.3× 20 0.2× 309 3.0× 28 785
Cristina Sorino Italy 13 248 1.2× 88 0.6× 29 0.2× 18 0.2× 73 0.7× 22 615
Susan B. Wormsley United States 15 209 1.0× 151 1.1× 82 0.6× 226 1.9× 404 3.9× 38 1.0k
Shruti Menon Australia 16 561 2.7× 103 0.7× 20 0.1× 42 0.4× 54 0.5× 30 878
Lauren Reoma United States 7 87 0.4× 215 1.5× 52 0.4× 12 0.1× 52 0.5× 14 482
Ivan Jelčić Switzerland 12 68 0.3× 151 1.1× 29 0.2× 13 0.1× 103 1.0× 16 351
Luis León Chile 15 268 1.3× 36 0.3× 26 0.2× 32 0.3× 392 3.8× 21 843
Dennis T. Maglinte United States 6 121 0.6× 187 1.3× 125 0.9× 13 0.1× 40 0.4× 12 468

Countries citing papers authored by C.v. Herst

Since Specialization
Citations

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

Fields of papers citing papers by C.v. Herst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.v. Herst. 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 C.v. Herst. The network helps show where C.v. Herst may publish in the future.

Co-authorship network of co-authors of C.v. Herst

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

All Works

20 of 20 papers shown
1.
Harris, Paul E., et al.. (2023). Survivin Expression in Luminal Breast Cancer and Adjacent Normal Tissue for Immuno-Oncology Applications. International Journal of Molecular Sciences. 24(14). 11827–11827. 4 indexed citations
2.
3.
Pokhrel, Suman, Daria Mochly‐Rosen, Paul E. Harris, et al.. (2021). Paired SARS-CoV-2 spike protein mutations observed during ongoing SARS-CoV-2 viral transfer from humans to minks and back to humans. Infection Genetics and Evolution. 93. 104897–104897. 13 indexed citations
4.
Harris, Paul E., Trevor Brasel, C.v. Herst, et al.. (2021). A Synthetic Peptide CTL Vaccine Targeting Nucleocapsid Confers Protection from SARS-CoV-2 Challenge in Rhesus Macaques. Vaccines. 9(5). 520–520. 26 indexed citations
5.
6.
7.
Cunha‐Neto, Edécio, et al.. (2017). An Approach for a Synthetic CTL Vaccine Design against Zika Flavivirus Using Class I and Class II Epitopes Identified by Computer Modeling. Frontiers in Immunology. 8. 640–640. 19 indexed citations
8.
9.
Frémont, Marc, Freya Vaeyens, C.v. Herst, Kenny De Meirleir, & Patrick Englebienne. (2006). Antiviral Pathway Deregulation of Chronic Fatigue Syndrome Induces Nitric Oxide Production in Immune Cells That Precludes a Resolution of the Inflammatory Response. Journal of Chronic Fatigue Syndrome. 13(4). 17–28. 4 indexed citations
10.
Frémont, Marc, Freya Vaeyens, C.v. Herst, Kenny L. De Meirleir, & Patrick Englebienne. (2005). Double-stranded RNA-dependent protein kinase (PKR) is a stress-responsive kinase that induces NFκB-mediated resistance against mercury cytotoxicity. Life Sciences. 78(16). 1845–1856. 18 indexed citations
11.
Frémont, Marc, Karim El Bakkouri, Freya Vaeyens, et al.. (2005). 2′,5′-Oligoadenylate size is critical to protect RNase L against proteolytic cleavage in chronic fatigue syndrome. Experimental and Molecular Pathology. 78(3). 239–246. 12 indexed citations
12.
Englebienne, Patrick, M. Verhas, C.v. Herst, & Kenny De Meirleir. (2003). Type I interferons induce proteins susceptible to act as thyroid receptor (TR) corepressors and to signal the TR for destruction by the proteasome: possible etiology for unexplained chronic fatigue. Medical Hypotheses. 60(2). 175–180. 12 indexed citations
13.
Martinand‐Mari, Camille, Nancy L. Reichenbach, Bernard Lebleu, et al.. (2002). Structural and Functional Features of the 37-kDa 2-5A-Dependent RNase L in Chronic Fatigue Syndrome. Journal of Interferon & Cytokine Research. 22(4). 443–456. 21 indexed citations
14.
Herst, C.v., et al.. (2001). Apoptotic dysfunction consecutive to RNaseL cleavage is likely to be central to the maintenance of Chronic Fatigue Syndrome.. VUBIR (Vrije Universiteit Brussel). 1 indexed citations
15.
Suhadolnik, Robert J., Terence J. O’Brien, Paul R. Cheney, et al.. (1997). Biochemical Evidence for a Novel Low Molecular Weight 2-5A-Dependent RNase L in Chronic Fatigue Syndrome. Journal of Interferon & Cytokine Research. 17(7). 377–385. 85 indexed citations
16.
Cohn, Susan L., Helen R. Salwen, Michael W. Quasney, et al.. (1991). High levels of N-myc protein in a neuroblastoma cell line lacking N-myc amplification.. PubMed. 366. 21–7. 4 indexed citations
17.
Deisseroth, A. B., C.v. Herst, Simon H. Sims, et al.. (1990). Future directions in molecular and genetic therapy for Leukemias and solid tumors. 42(3). 173–180.
18.
Cohn, Susan L., Helen R. Salwen, C.v. Herst, et al.. (1988). Single copies of the N-myc oncogene in neuroblastomas from children presenting with the syndrome of opsoclonus-myoclonus. Cancer. 62(4). 723–726. 36 indexed citations
19.
Gould, Victor E., Helen R. Salwen, C.v. Herst, et al.. (1987). Establishment and characterization of a neuroendocrine skin carcinoma cell line.. PubMed. 56(3). 302–12. 85 indexed citations
20.
Goldman-Leikin, Robin, C.v. Herst, M.S. Kies, et al.. (1987). Human T-cell lymphotropic virus type I-associated adult T-cell leukemia/lymphoma in an atypical host.. PubMed. 111(11). 1054–6. 4 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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