D Imbs

414 citations
24 papers · 305 · h-index 11

Impact in

Papers in

    • Cancer Treatment and Pharmacology 3
    • Colorectal Cancer Treatments and Studies 3
    • Virology and Viral Diseases 8
    • Respiratory viral infections research 2

D Imbs

23 papers receiving 299 citations

Peers

D Imbs
Comparison fields: 5 of 62
  • Hepatology 31
  • Modeling and Simulation 19
  • Oncology 97
  • Hematology 35
  • Cancer Research 35
Replace Ching-Yun Hsieh with:
Ching-Yun Hsieh Taiwan
Stephen Eppler United States
Costakis G. Frangou United States
George Tyler United States
Nicolas Frances Switzerland
Vito Michele Garrisi Italy
Priyanka Gopal United States
Maria N. Rovithi Netherlands
Mona S. Abdellateif Egypt
H. K. B. Silver Canada
D Imbs relative to Ching-Yun Hsieh Taiwan Ching-Yun Hsieh's profile →
Citations per field
00.5×5×10×15×19×
Ching-Yun Hsieh · 1×
Citations per year

Countries citing papers authored by D Imbs

Since Specialization
Citations

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

Fields of papers citing papers by D Imbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D Imbs, 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 D Imbs Line = papers co-authored together D Imbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 201634
3 201533
4 201526
5 201726
6 201826
7 201720
8 201419
9
Cell-mediated immune reactions in measles.
198013
10 201613
11 201713
12 19797
13 20226
14
Study of interaction between IgG and IgM antibodies against rubella virus by the immunofluorescence method.
19794
15 20224
16 20213
17
Cell- and antibody-mediated responses to measles and mumps viruses in experimental animals.
19782
18
[Occurrence of antibodies against epidemic parotitis virus among the population of Poland].
19842
19
Postinfection and postvaccination antirubella immunity.
19862
20 20222

About D Imbs

D Imbs is a scholar working on Oncology, Epidemiology, Hematology, Modeling and Simulation and Physiology, having authored 24 papers that have together received 305 indexed citations. Recurring topics across this work include Virology and Viral Diseases (8 papers), Cancer Treatment and Pharmacology (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Respiratory viral infections research (2 papers), Blood groups and transfusion (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Chemotherapy-induced organ toxicity mitigation (2 papers). The work is most often cited by research in Hepatology (31 citations), Modeling and Simulation (19 citations), Oncology (97 citations), Hematology (35 citations) and Cancer Research (35 citations). D Imbs has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Joseph Ciccolini, Étienne Chatelut, Fabienne Thomas, Bruno Lacarelle, Mélanie White‐Koning, Dominique Barbolosi, Thierry Lafont, Sébastien Benzekry, Sylvie Négrier and Caroline Delmas. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Oncotarget, HemaSphere, Archives of Virology and European Radiology.

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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