Imran Siddiqi

1.0k total citations
23 papers, 748 citations indexed

About

Imran Siddiqi is a scholar working on Molecular Biology, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Imran Siddiqi has authored 23 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Plant Science and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Imran Siddiqi's work include Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (10 papers) and Photosynthetic Processes and Mechanisms (6 papers). Imran Siddiqi is often cited by papers focused on Plant Molecular Biology Research (10 papers), Plant Reproductive Biology (10 papers) and Photosynthetic Processes and Mechanisms (6 papers). Imran Siddiqi collaborates with scholars based in India, United States and China. Imran Siddiqi's co-authors include Maruthachalam Ravi, Mohan P A Marimuthu, Jagreet Kaur, Ueli Grossniklaus, José Sebastián, Venkatesan Sundaresan, Sangeeta Negi, Rameshwar Sharma, Yellamaraju Sreelakshmi and Ramin Yadegari and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Imran Siddiqi

20 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Imran Siddiqi India	11	580	568	183	49	40	23	748
Marcelina García-Aguilar Mexico	9	398 0.7×	536 0.9×	128 0.7×	29 0.6×	13 0.3×	12	620
Leonor Morais–Cecílio Portugal	18	404 0.7×	613 1.1×	61 0.3×	9 0.2×	42 1.1×	40	703
Yill-Sung Park Canada	6	308 0.5×	264 0.5×	63 0.3×	67 1.4×	35 0.9×	8	365
Kay Robinson‐Beers United States	11	893 1.5×	981 1.7×	150 0.8×	13 0.3×	12 0.3×	17	1.1k
Michal Sochor Czechia	13	240 0.4×	312 0.5×	334 1.8×	25 0.5×	52 1.3×	48	469
M. R. Becwar United States	9	440 0.8×	406 0.7×	58 0.3×	50 1.0×	23 0.6×	14	512
Andrew Catanach New Zealand	11	217 0.4×	288 0.5×	168 0.9×	52 1.1×	15 0.4×	16	490
Renata Reinheimer Argentina	12	253 0.4×	365 0.6×	185 1.0×	26 0.5×	4 0.1×	25	448
Peter Engstr�m Sweden	7	445 0.8×	511 0.9×	84 0.5×	11 0.2×	9 0.2×	8	564
Guoqian Yang China	11	253 0.4×	260 0.5×	153 0.8×	21 0.4×	15 0.4×	21	420

Countries citing papers authored by Imran Siddiqi

Since Specialization

Citations

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

Fields of papers citing papers by Imran Siddiqi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imran Siddiqi

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

All Works

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20 of 20 papers shown

Noy, Ariela, Robert S. Ohgami, Nikhil Munshi, et al.. (2024). Burden of Idiopathic Multicentric Castleman Disease (iMCD) in the US: A Population-Level Real World Analysis Using a Health-Claims Dataset. Blood. 144(Supplement 1). 797–797.

Ford, Lauren, Elaine Huang, Rob H. Ireland, et al.. (2024). Optimizing Venetoclax Duration in Combination with Hypomethylating Agents for Newly Diagnosed AML: Impact on Treatment Response and Survival Outcomes. Blood. 144(Supplement 1). 2892–2892. 2 indexed citations

Raman, Bakthisaran, et al.. (2023). Distinct localization of chiral proofreaders resolves organellar translation conflict in plants. Proceedings of the National Academy of Sciences. 120(24). e2219292120–e2219292120. 2 indexed citations

Raman, Bakthisaran, et al.. (2023). A translation proofreader of archaeal origin imparts multi-aldehyde stress tolerance to land plants. eLife. 12. 1 indexed citations

Walkemeier, Birgit, Jelle Van Leene, Geert De Jaeger, et al.. (2022). The FANCC–FANCE–FANCF complex is evolutionarily conserved and regulates meiotic recombination. Nucleic Acids Research. 51(6). 2516–2528. 12 indexed citations

Siddiqi, Imran, et al.. (2020). The Ubiquitin-Specific Protease TNI/UBP14 Functions in Ubiquitin Recycling and Affects Auxin Response. PLANT PHYSIOLOGY. 184(3). 1499–1513. 10 indexed citations

Spillane, Charles, et al.. (2015). PATRONUS1 is expressed in meiotic prophase I to regulate centromeric cohesion in Arabidopsis and shows synthetic lethality with OSD1. BMC Plant Biology. 15(1). 201–201. 9 indexed citations

Siddiqi, Imran, et al.. (2015). The Chromatin Protein DUET/MMD1 Controls Expression of the Meiotic Gene TDM1 during Male Meiosis in Arabidopsis. PLoS Genetics. 11(9). e1005396–e1005396. 31 indexed citations

Qin, Yuan, Lihua Zhao, Megan I. Skaggs, et al.. (2014). ACTIN-RELATED PROTEIN6 Regulates Female Meiosis by Modulating Meiotic Gene Expression in Arabidopsis. The Plant Cell. 26(4). 1612–1628. 65 indexed citations

10.

Siddiqi, Imran, Mohan P A Marimuthu, & Maruthachalam Ravi. (2009). Molecular approaches for the fixation of plant hybrid vigor. Biotechnology Journal. 4(3). 342–347. 1 indexed citations

11.

Kaur, Jagreet, et al.. (2008). Identification of a root-specific glycosyltransferase from Arabidopsis and characterization of its promoter. Journal of Biosciences. 33(2). 185–193. 25 indexed citations

12.

Ravi, Maruthachalam, Mohan P A Marimuthu, & Imran Siddiqi. (2008). Gamete formation without meiosis in Arabidopsis. Nature. 451(7182). 1121–1124. 159 indexed citations

13.

Kaur, Jagreet, José Sebastián, & Imran Siddiqi. (2006). The Arabidopsis - mei2 - Like Genes Play a Role in Meiosis and Vegetative Growth in Arabidopsis. The Plant Cell. 18(3). 545–559. 75 indexed citations

14.

Ravi, Maruthachalam, et al.. (2006). AtMND1 is required for homologous pairing during meiosis in Arabidopsis. BMC Molecular Biology. 7(1). 24–24. 29 indexed citations

15.

Siddiqi, Imran. (2005). A sword in the rosetta stone. Journal of Biosciences. 30(3). 289–291. 1 indexed citations

16.

Kaur, Jagreet, et al.. (2003). The DUET gene is necessary for chromosome organization and progression during male meiosis in Arabidopsis and encodes a PHD finger protein. Development. 130(24). 5975–5987. 58 indexed citations

17.

Sreelakshmi, Yellamaraju, et al.. (2003). The polycotyledon Mutant of Tomato Shows Enhanced Polar Auxin Transport. PLANT PHYSIOLOGY. 133(1). 113–125. 49 indexed citations

18.

Siddiqi, Imran, et al.. (2002). Identification and analysis ofDYAD: a gene required for meiotic chromosome organisation and female meiotic progression inArabidopsis. Development. 129(16). 3935–3943. 87 indexed citations

19.

Siddiqi, Imran, et al.. (2000). The dyad gene is required for progression through female meiosis in Arabidopsis. Development. 127(1). 197–207. 127 indexed citations

20.

Vijayraghavan, Usha, Imran Siddiqi, & Elliot M. Meyerowitz. (1995). Isolation of an 800 kb contiguous DNA fragment encompassing a 3.5-cM region of chromosome 1 inArabidopsisusing YAC clones. Genome. 38(4). 817–823. 4 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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