L. M. Ambani

37 total papers · 1.2k total citations
30 papers, 947 citations indexed

About

L. M. Ambani is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, L. M. Ambani has authored 30 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pediatrics, Perinatology and Child Health and 7 papers in Genetics. Recurrent topics in L. M. Ambani's work include Metabolism and Genetic Disorders (5 papers), Prenatal Screening and Diagnostics (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). L. M. Ambani is often cited by papers focused on Metabolism and Genetic Disorders (5 papers), Prenatal Screening and Diagnostics (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). L. M. Ambani collaborates with scholars based in India and United States. L. M. Ambani's co-authors include Melvin H. Van Woert, Samantha Murphy, Maurice J. Mahoney, Meena Desai, Huntington F. Willard, León E. Rosenberg, Walter A. Brown, Malcolm B. Bowers, Leah Rosenberg and Wayne A. Fenton and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

L. M. Ambani

29 papers receiving 897 citations

Author Peers

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

Author						Papers	Cites
L. M. Ambani	312	297	175	119	113	30	947
Grażyna Dębska–Vielhaber	478 1.5×	311 1.0×	302 1.7×	28 0.2×	109 1.0×	33	966
L. A. Arnold	319 1.0×	176 0.6×	222 1.3×	67 0.6×	204 1.8×	22	846
Elham Amini	496 1.6×	172 0.6×	230 1.3×	47 0.4×	57 0.5×	30	1.1k
Hisayoshi Niwa	433 1.4×	259 0.9×	432 2.5×	40 0.3×	112 1.0×	28	1.2k
Carmen Martínez	264 0.8×	349 1.2×	150 0.9×	81 0.7×	62 0.5×	34	873
John R. Wherrett	443 1.4×	385 1.3×	304 1.7×	38 0.3×	77 0.7×	28	1.2k
Paulo Valdeci Worm	178 0.6×	122 0.4×	184 1.1×	49 0.4×	30 0.3×	40	962
Toshiyuki Hayabara	299 1.0×	284 1.0×	279 1.6×	34 0.3×	40 0.4×	50	968
Annika Vaarmann	577 1.8×	319 1.1×	343 2.0×	82 0.7×	61 0.5×	23	1.2k
Arianna Tucci	392 1.3×	249 0.8×	184 1.1×	239 2.0×	29 0.3×	28	919

Countries citing papers authored by L. M. Ambani

Since Specialization

Citations

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

Fields of papers citing papers by L. M. Ambani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. M. Ambani. 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 L. M. Ambani. The network helps show where L. M. Ambani may publish in the future.

Co-authorship network of co-authors of L. M. Ambani

This figure shows the co-authorship network connecting the top 25 collaborators of L. M. Ambani. A scholar is included among the top collaborators of L. M. Ambani 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 L. M. Ambani. L. M. Ambani 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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