Marcelle Kaufman

2.0k citations
34 papers · 1.4k indexed · h-index 16

Impact in

    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Protein Structure and Dynamics

Papers in

Marcelle Kaufman

34 papers receiving 1.3k citations

Peers

Marcelle Kaufman
Comparison fields: 5 of 117
  • Molecular Biology 1.1k
  • Modeling and Simulation 61
  • Biophysics 66
  • Genetics 217
  • Statistical and Nonlinear Physics 94
Replace Tomáš Gedeon with:
Tomáš Gedeon United States
Ovidiu Radulescu France
Fangting Li China
Sandeep Krishna India
Tau‐Mu Yi United States
Elijah Roberts United States
Markus Kollmann Germany
Maximino Aldana Mexico
Erik Plahte Norway
Fergal Casey United States
Marcelle Kaufman relative to Tomáš Gedeon United States Tomáš Gedeon's profile →
Citations per field
00.5×2.6×
Tomáš Gedeon · 1×
Citations per year

Countries citing papers authored by Marcelle Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Marcelle Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20193
2 201317
3 201046
4 20107
5
Analyse logique des circuits de rétroaction
20081
6 20071
7 200776
8 200320
9 20026
10 200124
11 200052
12 20001
13 19968
14 199613
15 1995337
16 199413
17 199110
18 198750
19 1985102
20
Bifurcation Analysis of Nonlinear Reaction-Diffusion Equations II
19757

About Marcelle Kaufman

Marcelle Kaufman is a scholar working on Immunology, Behavioral Neuroscience, Molecular Biology, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Receptor Mechanisms and Signaling (7 papers), T-cell and B-cell Immunology (5 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Neural dynamics and brain function (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune Cell Function and Interaction (3 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Modeling and Simulation (61 citations), Biophysics (66 citations), Genetics (217 citations) and Statistical and Nonlinear Physics (94 citations). Marcelle Kaufman has collaborated with scholars based in Belgium, France and United States. Frequent co-authors include René Thomas, Denis Thieffry, R. Thomas, Djomangan Adama Ouattara, Wassim Abou-Jaoudé, Jacques Urbain, Christophe Soulé, Oberdan Léo, Jacques Demongeot and Fabienne Andris. Their work appears in journals such as Journal of Theoretical Biology, Bulletin of Mathematical Biology, Comptes Rendus Biologies, International Immunology and International Journal of Bifurcation and Chaos.

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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