Seema Chatterjee

843 total citations · 1 hit paper
10 papers, 598 citations indexed

About

Seema Chatterjee is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Seema Chatterjee has authored 10 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Seema Chatterjee's work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (3 papers). Seema Chatterjee is often cited by papers focused on RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (3 papers). Seema Chatterjee collaborates with scholars based in United States and Japan. Seema Chatterjee's co-authors include Elizabeth R. Gavis, Pranatchareeya Chankhamjon, Mohamed S. Donia, Ying‐Chiang J. Lee, Qihao Wu, Bahar Javdan, Xiaojuan Wang, Jaime G Lopez, Tao Huang and Yossi Kalifa and has published in prestigious journals such as Cell, Molecular Cell and Development.

In The Last Decade

Seema Chatterjee

10 papers receiving 594 citations

Hit Papers

Personalized Mapping of Drug Metabolism by the Human Gut ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seema Chatterjee United States 9 525 65 62 55 41 10 598
Aurian P. García-González United States 9 303 0.6× 46 0.7× 57 0.9× 27 0.5× 14 0.3× 12 404
Da‐Wei Gong Japan 11 496 0.9× 32 0.5× 95 1.5× 28 0.5× 62 1.5× 17 618
Harvey R. Fernandez United States 15 364 0.7× 27 0.4× 85 1.4× 34 0.6× 21 0.5× 23 625
Xiaojing Guan China 9 263 0.5× 14 0.2× 48 0.8× 43 0.8× 25 0.6× 19 407
Lijun Ning China 11 251 0.5× 23 0.4× 54 0.9× 93 1.7× 12 0.3× 17 476
Shaleen Shrestha United States 6 390 0.7× 33 0.5× 53 0.9× 24 0.4× 9 0.2× 9 493
Martina Karasová Slovakia 10 133 0.3× 29 0.4× 30 0.5× 28 0.5× 18 0.4× 23 346
Guowan Zheng China 12 292 0.6× 18 0.3× 20 0.3× 50 0.9× 13 0.3× 31 540
Xinjian Xu China 11 282 0.5× 49 0.8× 158 2.5× 13 0.2× 51 1.2× 25 610

Countries citing papers authored by Seema Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Seema Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Chatterjee

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

All Works

10 of 10 papers shown
1.
Elmassry, Moamen M., Kohei Sugihara, Pranatchareeya Chankhamjon, et al.. (2025). A meta-analysis of the gut microbiome in inflammatory bowel disease patients identifies disease-associated small molecules. Cell Host & Microbe. 33(2). 218–234.e12. 7 indexed citations
2.
Javdan, Bahar, Jaime G Lopez, Pranatchareeya Chankhamjon, et al.. (2020). Personalized Mapping of Drug Metabolism by the Human Gut Microbiome. Cell. 181(7). 1661–1679.e22. 296 indexed citations breakdown →
3.
Teramoto, Takamasa, et al.. (2017). The Drosophila hnRNP F/H Homolog Glorund Uses Two Distinct RNA-Binding Modes to Diversify Target Recognition. Cell Reports. 19(1). 150–161. 15 indexed citations
4.
Sinsimer, Kristina S., Roshan A. Jain, Seema Chatterjee, & Elizabeth R. Gavis. (2011). A late phase of germ plasm accumulation during Drosophila oogenesis requires Lost and Rumpelstiltskin. Development. 138(16). 3431–3440. 43 indexed citations
5.
Gavis, Elizabeth R., et al.. (2007). Dispensability of nanos mRNA localization for abdominal patterning but not for germ cell development. Mechanisms of Development. 125(1-2). 81–90. 20 indexed citations
6.
Kalifa, Yossi, et al.. (2006). Glorund, a Drosophila hnRNP F/H Homolog, Is an Ovarian Repressor of nanos Translation. Developmental Cell. 10(3). 291–301. 64 indexed citations
7.
Chatterjee, Seema, et al.. (2005). The nanos translational control element represses translation in somatic cells by a Bearded box-like motif. Developmental Biology. 282(1). 207–217. 13 indexed citations
8.
Huang, Tao, et al.. (2001). Recognition and long-range interactions of a minimal nanos RNA localization signal element. Development. 128(3). 427–435. 26 indexed citations
9.
Chatterjee, Seema, et al.. (2000). Overlapping but Distinct RNA Elements Control Repression and Activation of nanos Translation. Molecular Cell. 5(3). 457–467. 84 indexed citations
10.
Muller, Alexander J., Seema Chatterjee, Angelika K. Teresky, & Arnold J. Levine. (1998). The gas5 gene is disrupted by a frameshift mutation within its longest open reading frame in several inbred mouse strains and maps to murine Chromosome 1. Mammalian Genome. 9(9). 773–774. 30 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026