Jacques P. Bothma

2.4k citations
16 papers · 1.7k · h-index 14

Impact in

Papers in

    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 7
    • Developmental Biology and Gene Regulation 6
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • melanin and skin pigmentation 4
    • Cellular Mechanics and Interactions 2

Jacques P. Bothma

16 papers receiving 1.7k citations

Peers

Jacques P. Bothma
Comparison fields: 5 of 106
  • Cell Biology 366
  • Aging 36
  • Molecular Biology 1.1k
  • Sensory Systems 63
  • Biophysics 68
Replace M. Hollósi with:
M. Hollósi Hungary
Ahram Kim South Korea
Daniele Dell’Orco Italy
Sonya M. Khersonsky United States
Lian Hong United States
Vladimir Kiss Israel
Oliver Thorn‐Seshold Germany
Wendy S. Woods United States
Vadim A. Klenchin United States
Laura Domı́nguez Mexico
Jacques P. Bothma relative to M. Hollósi Hungary M. Hollósi's profile →
Citations per field
00.5×7.9×
M. Hollósi · 1×
Citations per year

Countries citing papers authored by Jacques P. Bothma

Since Specialization
Citations

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

Fields of papers citing papers by Jacques P. Bothma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques P. Bothma. 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 Jacques P. Bothma. The network helps show where Jacques P. Bothma may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2010305
2 2009267
3 2014184
4 2008175
5 2013143
6 2015132
7 2012107
8 201887
9 201275
10 201155
11 200554
12 200746
13 201043
14 201132
15 201011
16 202311

About Jacques P. Bothma

Jacques P. Bothma is a scholar working on Molecular Biology, Cell Biology, Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience and Dermatology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (7 papers), Developmental Biology and Gene Regulation (6 papers), melanin and skin pigmentation (4 papers), Cellular Mechanics and Interactions (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Fermentation and Sensory Analysis (1 paper). The work is most often cited by research in Cell Biology (366 citations), Aging (36 citations), Molecular Biology (1.1k citations), Sensory Systems (63 citations) and Biophysics (68 citations). Jacques P. Bothma has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Michael Levine, Paul Meredith, Michael Perry, Andrew A. R. Watt, Alistair N. Boettiger, Hernán G. García, Thomas Gregor, Mounia Lagha, Emilia Esposito and Paul Schwenn. Their work appears in journals such as Current Biology, Cell, The Journal of Physical Chemistry B, PLoS Computational Biology and Trends in Genetics.

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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