N. J. Robert

751 citations
8 papers · 516 · h-index 6

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Treatment and Pharmacology
    • CAR-T cell therapy research

Papers in

    • Cancer Treatment and Pharmacology 5
    • HER2/EGFR in Cancer Research 3
    • Breast Cancer Treatment Studies 3

N. J. Robert

8 papers receiving 480 citations

Peers

N. J. Robert
Comparison fields: 5 of 59
  • Hepatology 155
  • Oncology 149
  • Epidemiology 150
  • Immunology 90
  • Dermatology 18
Replace C.M.P. Collins with:
C.M.P. Collins United Kingdom
Yoram Menachem Israel
Michael Li United States
Daniel H. Shu United States
Hideko Kozuru Japan
Benoît Dupont France
Wolfram Bohle Germany
Young Mi Hong South Korea
Korinna Leder Germany
Issam Abd Alsamad France
N. J. Robert relative to C.M.P. Collins United Kingdom C.M.P. Collins's profile →
Citations per field
00.5×1.5×2.1×
C.M.P. Collins · 1×
Citations per year

Countries citing papers authored by N. J. Robert

Since Specialization
Citations

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

Fields of papers citing papers by N. J. Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. J. Robert. 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 N. J. Robert. The network helps show where N. J. Robert may publish in the future.

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1980272
2 199180
3 199273
4
Paclitaxel (Taxol)/doxorubicin combinations in advanced breast cancer: the Eastern Cooperative Oncology Group experience.
199444
5
Eastern Cooperative Oncology Group studies of paclitaxel and doxorubicin in advanced breast cancer.
199533
6 19937
7 19915
8 20112

About N. J. Robert

N. J. Robert is a scholar working on Oncology, Cancer Research, Hepatology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 8 papers that have together received 516 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Breast Cancer Treatment Studies (3 papers), HER2/EGFR in Cancer Research (3 papers), Adrenal Hormones and Disorders (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Liver Disease and Transplantation (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Hepatology (155 citations), Oncology (149 citations), Epidemiology (150 citations), Immunology (90 citations) and Dermatology (18 citations). N. J. Robert has collaborated with scholars based in United States. Frequent co-authors include Joseph T. Ferrucci, W P Harbin, Michael B. Atkins, J W Mier, Katie M. O’Brien, Gloria Vachino, Daniel D. Karp, Herbert Tilg, Kerstin Kappler and Eric Keith Rowinsky. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, European Journal of Cancer, Radiology and PubMed.

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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