Inna Guterman

1.4k total citations
9 papers, 793 citations indexed

About

Inna Guterman is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Inna Guterman has authored 9 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Inna Guterman's work include Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Inna Guterman is often cited by papers focused on Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (4 papers) and Photosynthetic Processes and Mechanisms (3 papers). Inna Guterman collaborates with scholars based in Israel, United States and United Kingdom. Inna Guterman's co-authors include Eran Pichersky, David Weiss, Alexander Vainstein, Zach Adam, Naama Menda, Dani Zamir, Moshe Shalit, Einat Bar, Efraim Lewinsohn and Jihong Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and The Plant Cell.

In The Last Decade

Inna Guterman

9 papers receiving 756 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Inna Guterman Israel	8	650	276	153	108	91	9	793
Shuiqin Wu United States	13	859 1.3×	250 0.9×	77 0.5×	149 1.4×	120 1.3×	17	1.0k
Mohammad Majdi Iran	13	453 0.7×	365 1.3×	37 0.2×	66 0.6×	102 1.1×	44	699
Yougen Wu China	16	474 0.7×	325 1.2×	57 0.4×	46 0.4×	91 1.0×	55	761
Ines Schauvinhold United States	9	961 1.5×	357 1.3×	193 1.3×	133 1.2×	106 1.2×	9	1.2k
Shu-Xi Jing China	15	409 0.6×	199 0.7×	72 0.5×	51 0.5×	43 0.5×	20	549
Angela Chiang Canada	10	585 0.9×	165 0.6×	43 0.3×	72 0.7×	111 1.2×	12	658
Damian P. Drew Denmark	16	542 0.8×	401 1.5×	30 0.2×	102 0.9×	152 1.7×	18	756
Jinggong Guo China	18	616 0.9×	407 1.5×	51 0.3×	46 0.4×	39 0.4×	45	879
Bingxian Yang China	18	528 0.8×	377 1.4×	101 0.7×	21 0.2×	60 0.7×	47	806
Diana Coman Switzerland	7	1.3k 2.0×	302 1.1×	70 0.5×	103 1.0×	103 1.1×	10	1.4k

Countries citing papers authored by Inna Guterman

Since Specialization

Citations

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

Fields of papers citing papers by Inna Guterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inna Guterman

This figure shows the co-authorship network connecting the top 25 collaborators of Inna Guterman. A scholar is included among the top collaborators of Inna Guterman 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 Inna Guterman. Inna Guterman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Guterman, Inna, Kevin West, Hong Cai, et al.. (2022). Increased mitochondrial proline metabolism sustains proliferation and survival of colorectal cancer cells. PLoS ONE. 17(2). e0262364–e0262364. 17 indexed citations

2.

Simmonds, James, Inna Guterman, K. Kanyuka, et al.. (2022). FANCM promotes class I interfering crossovers and suppresses class II non-interfering crossovers in wheat meiosis. Nature Communications. 13(1). 3644–3644. 26 indexed citations

3.

Guterman, Inna, et al.. (2020). The Janus-like role of proline metabolism in cancer. Cell Death Discovery. 6(1). 104–104. 91 indexed citations

4.

Cilibrizzi, Agostino, et al.. (2016). Vanadyl complexes with dansyl-labelled di-picolinic acid ligands: synthesis, phosphatase inhibition activity and cellular uptake studies. Dalton Transactions. 45(16). 7104–7113. 3 indexed citations

5.

Guterman, Inna, Tania Masci, Xinlu Chen, et al.. (2006). Generation of Phenylpropanoid Pathway-Derived Volatiles in Transgenic Plants: Rose Alcohol Acetyltransferase Produces Phenylethyl Acetate and Benzyl Acetate in Petunia Flowers. Plant Molecular Biology. 60(4). 555–563. 74 indexed citations

6.

Dafny-Yelin, Mery, Inna Guterman, Naama Menda, et al.. (2005). Flower proteome: changes in protein spectrum during the advanced stages of rose petal development. Planta. 222(1). 37–46. 37 indexed citations

7.

Shalit, Moshe, Inna Guterman, Hanne Volpin, et al.. (2003). Volatile Ester Formation in Roses. Identification of an Acetyl-Coenzyme A. Geraniol/Citronellol Acetyltransferase in Developing Rose Petals. PLANT PHYSIOLOGY. 131(4). 1868–1876. 181 indexed citations

8.

Guterman, Inna, Moshe Shalit, Naama Menda, et al.. (2002). Rose Scent. The Plant Cell. 14(10). 2325–2338. 233 indexed citations

9.

Lavid, Noa, Jihong Wang, Moshe Shalit, et al.. (2002). O-Methyltransferases Involved in the Biosynthesis of Volatile Phenolic Derivatives in Rose Petals. PLANT PHYSIOLOGY. 129(4). 1899–1907. 131 indexed citations

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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