Tanmoy Mondal

2.4k citations
31 papers · 1.9k indexed · 1 hit paper · h-index 14

Tanmoy Mondal

27 papers receiving 1.8k citations

Hit Papers

Kcnq1ot1 Antisense Noncoding RNA Mediates Lineage-Specifi...9262008202620142020250500750

Peers

Tanmoy Mondal
Comparison fields: 5 of 87
  • Cancer Research 1.2k
  • Molecular Biology 1.7k
  • Endocrinology 59
  • Genetics 266
  • Pediatrics, Perinatology and Child Health 81
Replace Stefan E. Seemann with:
Stefan E. Seemann Denmark
Vera Huang United States
Elisa Pesce Italy
Suman Ghosal India
Lee Tuddenham France
Chongjian Chen China
Wenhu Pi United States
Miha Milek Germany
Christopher R. Trotta United States
Kousuke Tanimoto Japan
Tanmoy Mondal relative to Stefan E. Seemann Denmark Stefan E. Seemann's profile →
Citations per field
00.5×4.8×
Stefan E. Seemann · 1×
Citations per year

Countries citing papers authored by Tanmoy Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Tanmoy Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 202313
4 20231
5 20215
6 202111
7 202111
8 202023
9 20200
10 201873
11 201878
12
Complexity, Heterogeneity and Mutational Analysis of AntibioticInactivating Acetyl Transferases in MDR Conjugative PlasmidsConferring Multi-Resistance
20171
13 20173
14 201713
15 20155
16 201288
17 20122
18 20118
19 2010151
20
Kcnq1ot1 Antisense Noncoding RNA Mediates Lineage-Specific Transcriptional Silencing through Chromatin-Level Regulationbreakdown →
2008926

About Tanmoy Mondal

Tanmoy Mondal is a scholar working on Cancer Research, Molecular Biology, Immunology, Oncology and Hepatology, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (8 papers), RNA Research and Splicing (6 papers), CAR-T cell therapy research (5 papers), Genetic Syndromes and Imprinting (4 papers), Epigenetics and DNA Methylation (4 papers), MicroRNA in disease regulation (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.7k citations), Endocrinology (59 citations), Genetics (266 citations) and Pediatrics, Perinatology and Child Health (81 citations). Tanmoy Mondal has collaborated with scholars based in Sweden, United States and India. Frequent co-authors include Chandrasekhar Kanduri, Faizaan Mohammad, Stefan Enroth, Jan Komorowski, Radha Raman Pandey, Debora Mancini‐DiNardo, Takashi Nagano, Gaurav Kumar Pandey, Н. П. Гусева and Anders Isaksson. Their work appears in journals such as Nature Communications, Journal of Visualized Experiments, Development, Journal of Virology and Scientific Reports.

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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2026