James M. Tepperman

8.1k citations
45 papers · 6.5k indexed · 1 hit paper · h-index 36

James M. Tepperman

44 papers receiving 6.4k citations

Hit Papers

PIF3, a Phytochrome-Interacting Factor Necessary for Norm...5861998202620072016100200300400500

Peers

James M. Tepperman
Comparison fields: 5 of 92
  • Plant Science 5.7k
  • Molecular Biology 5.0k
  • Cellular and Molecular Neuroscience 431
  • Endocrine and Autonomic Systems 111
  • Biotechnology 119
Replace Ligeng Ma with:
Ligeng Ma China
Tomohiro Kiyosue Japan
Enamul Huq United States
Hongwei Guo China
Woe‐Yeon Kim South Korea
Jérôme Giraudat France
Ingo Drèyer Germany
Hirofumi Nakagami Germany
Rainer Waadt Germany
Giltsu Choi South Korea
James M. Tepperman relative to Ligeng Ma China Ligeng Ma's profile →
Citations per field
00.5×3.2×
Ligeng Ma · 1×
Citations per year

Countries citing papers authored by James M. Tepperman

Since Specialization
Citations

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

Fields of papers citing papers by James M. Tepperman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Tepperman. 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 James M. Tepperman. The network helps show where James M. Tepperman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2016135
2 201551
3 2014217
4 2014162
5 2013328
6 2012188
7 201142
8 2006146
9 200656
10 2004175
11 2002495
12 2001386
13 2000280
14 1999372
15
PIF3, a Phytochrome-Interacting Factor Necessary for Normal Photoinduced Signal Transduction, Is a Novel Basic Helix-Loop-Helix Proteinbreakdown →
1998586
16 199528
17 199497
18 1991111
19 1988202
20 198433

About James M. Tepperman

James M. Tepperman is a scholar working on Plant Science, Molecular Biology, Biochemistry, Cell Biology and Physiology, having authored 45 papers that have together received 6.5k indexed citations. Recurring topics across this work include Light effects on plants (29 papers), Photosynthetic Processes and Mechanisms (27 papers), Plant Molecular Biology Research (26 papers), Adipose Tissue and Metabolism (4 papers), Greenhouse Technology and Climate Control (2 papers), Plant nutrient uptake and metabolism (2 papers), Muscle metabolism and nutrition (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Plant Science (5.7k citations), Molecular Biology (5.0k citations), Cellular and Molecular Neuroscience (431 citations), Endocrine and Autonomic Systems (111 citations) and Biotechnology (119 citations). James M. Tepperman has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Peter H. Quail, Min Ni, Enamul Huq, Elena Monte, Sae Shimizu‐Sato, Pamela Dunsmuir, Robert Sharrock, Tong Zhu, Xun Wang and Pablo Leivar. Their work appears in journals such as The Plant Cell, Journal of Lipid Research, Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and The Plant Journal.

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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