Jerome Hochman

3.7k citations
44 papers · 2.6k · h-index 30

Impact in

  • Pharmacology top 0.5%
    • Pharmacogenetics and Drug Metabolism
  • Oncology top 2%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Drug Transport and Resistance Mechanisms 20
    • RNA Interference and Gene Delivery 4
    • Advanced biosensing and bioanalysis techniques 4

Jerome Hochman

44 papers receiving 2.5k citations

Peers

Jerome Hochman
Comparison fields: 5 of 112
  • Pharmacology 618
  • Oncology 1.0k
  • Pharmaceutical Science 216
  • Pediatrics, Perinatology and Child Health 480
  • Hepatology 174
Replace Liang‐Shang Gan with:
Liang‐Shang Gan United States
Hannah M. Jones United States
Laurent Salphati United States
Iain Gardner United Kingdom
Gian Camenisch Switzerland
Pär Matsson Sweden
Kimberly K. Adkison United States
Manabu Hanano Japan
Werner Kramer Germany
Jerome Hochman relative to Liang‐Shang Gan United States Liang‐Shang Gan's profile →
Citations per field
00.5×2.6×
Liang‐Shang Gan · 1×
Citations per year

Countries citing papers authored by Jerome Hochman

Since Specialization
Citations

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

Fields of papers citing papers by Jerome Hochman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994201
2 2001198
3 2013192
4 1996177
5 1994147
6 2011143
7 1996109
8 1989107
9 2000103
10 200484
11 200574
12 200270
13 199465
14 200862
15 199659
16 201157
17 199156
18 198851
19 200045
20 198845

About Jerome Hochman

Jerome Hochman is a scholar working on Oncology, Molecular Biology, Pharmacology, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 2.6k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Pharmacogenetics and Drug Metabolism (11 papers), Pharmacological Effects and Toxicity Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Computational Drug Discovery Methods (4 papers) and Drug Solubulity and Delivery Systems (4 papers). The work is most often cited by research in Pharmacology (618 citations), Oncology (1.0k citations), Pharmaceutical Science (216 citations), Pediatrics, Perinatology and Child Health (480 citations) and Hepatology (174 citations). Jerome Hochman has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Edward L. LeCluyse, Thomayant Prueksaritanont, Masayo Yamazaki, Kenneth L. Audus, Jiunn H. Lin, Per Artursson, Shelagh Ferguson‐Miller, Melvin Schindler, Masato Chiba and Kamlesh P. Vyas. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences, Pharmaceutical Research and Xenobiotica.

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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