Daniel Mutnick

522 citations
13 papers · 464 · h-index 12

Impact in

  • Hepatology top 10%
    • Liver Diseases and Immunity
    • Catalytic C–H Functionalization Methods
    • Chemical synthesis and alkaloids
    • Asymmetric Synthesis and Catalysis

Papers in

    • Cholinesterase and Neurodegenerative Diseases 2
    • Platelet Disorders and Treatments 2

Daniel Mutnick

13 papers receiving 441 citations

Peers

Daniel Mutnick
Comparison fields: 5 of 65
  • Hepatology 61
  • Organic Chemistry 161
  • Oncology 105
  • Epidemiology 119
  • Pharmacology 54
Replace Jorge Gomez‐Galeno with:
Jorge Gomez‐Galeno United States
Mingrong Cao China
Karen Anderson Evans United States
Laurent Sanière Belgium
Robert B. McFadyen United States
Edward J. Jarman United Kingdom
Matthias Blumrich Germany
Donna J. Skow United States
Fredrik Tholander Sweden
Daniel Mutnick relative to Jorge Gomez‐Galeno United States Jorge Gomez‐Galeno's profile →
Citations per field
00.5×2×2.6×
Jorge Gomez‐Galeno · 1×
Citations per year

Countries citing papers authored by Daniel Mutnick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mutnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2017209
2 200948
3 202035
4 200333
5 200828
6 200621
7 201217
8 200814
9 200114
10 201412
11 202012
12 201412
13 20239

About Daniel Mutnick

Daniel Mutnick is a scholar working on Pharmacology, Hematology, Cancer Research, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 13 papers that have together received 464 indexed citations. Recurring topics across this work include Chemical synthesis and alkaloids (2 papers), Receptor Mechanisms and Signaling (2 papers), Platelet Disorders and Treatments (2 papers), Allelopathy and phytotoxic interactions (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Diabetes Treatment and Management (2 papers), Immune Response and Inflammation (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Hepatology (61 citations), Organic Chemistry (161 citations), Oncology (105 citations), Epidemiology (119 citations) and Pharmacology (54 citations). Daniel Mutnick has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Jeffrey N. Johnston, Phil B. Alper, Tove Tuntland, Donald S. Karanewsky, Thomas H. Marsilje, Maren Pink, Jonathan J. Chang, Shin‐Shay Tian, Perry Gordon and Donald C. Chow. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the American Chemical Society, The Journal of Organic Chemistry and ACS Medicinal Chemistry Letters.

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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