C.v. Herst

30 papers receiving 611 citations

Peers

C.v. Herst
Comparison fields: 5 of 77
  • Neurology 152
  • Psychiatry and Mental health 130
  • Oncology 150
  • Infectious Diseases 96
  • Immunology 98
Replace Shivan Chetty with:
Shivan Chetty South Africa
Kathryn T. Iacono United States
John D. Huck United States
Joana Ribeiro Portugal
Francois M. J. Lamoury Australia
John E. Gorzynski United States
Pasquine Saule France
Maren Eckey Germany
Fernando Mateos Spain
Martin Achleitner Germany
C.v. Herst relative to Shivan Chetty South Africa Shivan Chetty's profile →
Citations per field
00.5×1.5×2.1×
Shivan Chetty · 1×
Citations per year

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-authors

The 25 scholars most cited alongside C.v. Herst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C.v. Herst Line = papers co-authored together C.v. Herst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199794
2
Establishment and characterization of a neuroendocrine skin carcinoma cell line.
198790
3
Prolonged N-myc protein half-life in a neuroblastoma cell line lacking N-myc amplification.
199074
4
Characterization of a novel myeloma cell line, MM.1.
198947
5 198841
6 202040
7 198733
8 202130
9 201425
10 200222
11 201721
12 200518
13 202117
14 200115
15 202315
16 200513
17 200312
18 20019
19 20208
20 20235

About C.v. Herst

C.v. Herst is a scholar working on Psychiatry and Mental health, Immunology, Infectious Diseases, Molecular Biology and Cell Biology, having authored 33 papers that have together received 657 indexed citations. Recurring topics across this work include Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), vaccines and immunoinformatics approaches (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Neuroblastoma Research and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (3 papers), Viral Infections and Outbreaks Research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Neurology (152 citations), Psychiatry and Mental health (130 citations), Oncology (150 citations), Infectious Diseases (96 citations) and Immunology (98 citations). C.v. Herst has collaborated with scholars based in United States, Belgium and Brazil. Frequent co-authors include Helen R. Salwen, Steven T. Rosen, Susan Lerner Cohn, Kenny De Meirleir, Patrick Englebienne, Robert J. Marder, Reid Rubsamen, Michelle M. Le Beau, Helen S. Maurer and Paul E. Harris. Their work appears in journals such as Vaccines, Vaccine, Journal of Interferon & Cytokine Research, Journal of Clinical Oncology and Clinical and Vaccine Immunology.

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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