T.J. Baiga

30 total papers · 1.3k total citations
13 papers, 1.0k citations indexed

About

T.J. Baiga is a scholar working on Molecular Biology, Pharmacology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T.J. Baiga has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T.J. Baiga's work include Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (5 papers) and Chemical Synthesis and Analysis (2 papers). T.J. Baiga is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (5 papers) and Chemical Synthesis and Analysis (2 papers). T.J. Baiga collaborates with scholars based in United States. T.J. Baiga's co-authors include Joseph P. Noel, Eran Pichersky, Takao Koeduka, Gordon V. Louie, Natalia Dudareva, Irina Orlova, M.E. Bowman, Christine M. Kish, Daniel G. Vassão and Norman Lewis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and PLoS ONE.

In The Last Decade

T.J. Baiga

13 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T.J. Baiga	779	297	152	139	109	13	1.0k
Yasuhisa Kaminaga	608 0.8×	284 1.0×	44 0.3×	154 1.1×	123 1.1×	7	836
Dennis P. Michaud	522 0.7×	192 0.6×	102 0.7×	69 0.5×	121 1.1×	20	1.2k
Eugene F. Jansen	427 0.5×	309 1.0×	78 0.5×	95 0.7×	75 0.7×	31	803
W.Donald MacRae	695 0.9×	463 1.6×	196 1.3×	45 0.3×	65 0.6×	28	1.2k
Fong‐Chin Huang	601 0.8×	337 1.1×	71 0.5×	113 0.8×	90 0.8×	22	856
Éric Courot	675 0.9×	274 0.9×	90 0.6×	262 1.9×	84 0.8×	21	1.1k
Ursula Hinz	557 0.7×	376 1.3×	57 0.4×	107 0.8×	219 2.0×	22	944
EFLJ Anet	421 0.5×	310 1.0×	286 1.9×	55 0.4×	102 0.9×	34	1.2k
Camilo Canel	855 1.1×	430 1.4×	146 1.0×	117 0.8×	77 0.7×	18	1.2k
W. Lee Adair	946 1.2×	211 0.7×	151 1.0×	73 0.5×	67 0.6×	28	1.2k

Countries citing papers authored by T.J. Baiga

Since Specialization

Citations

This map shows the geographic impact of T.J. Baiga'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 T.J. Baiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Baiga more than expected).

Fields of papers citing papers by T.J. Baiga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Baiga. 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 T.J. Baiga. The network helps show where T.J. Baiga may publish in the future.

Co-authorship network of co-authors of T.J. Baiga

This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Baiga. A scholar is included among the top collaborators of T.J. Baiga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T.J. Baiga. T.J. Baiga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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