Tanu Anand

138 total papers · 3.8k total citations
64 papers, 1.2k citations indexed

About

Tanu Anand is a scholar working on Infectious Diseases, Clinical Psychology and General Health Professions. According to data from OpenAlex, Tanu Anand has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 14 papers in Clinical Psychology and 13 papers in General Health Professions. Recurrent topics in Tanu Anand's work include Tuberculosis Research and Epidemiology (10 papers), Global Public Health Policies and Epidemiology (10 papers) and Pneumonia and Respiratory Infections (7 papers). Tanu Anand is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Global Public Health Policies and Epidemiology (10 papers) and Pneumonia and Respiratory Infections (7 papers). Tanu Anand collaborates with scholars based in India, United States and Luxembourg. Tanu Anand's co-authors include Jugal Kishore, Gopal Krishna Ingle, Shekhar Grover, Pragya Sharma, Manju Rahi, GK Ingle, Rajesh Kumar, Santasabuj Das, Balram Bhargava and Pranab Chatterjee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

In The Last Decade

Tanu Anand

58 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Tanu Anand	233	209	181	113	108	64	1.2k
Lekhraj Rampal Gyanchand Rampal	203 0.9×	227 1.1×	170 0.9×	113 1.0×	92 0.9×	86	915
Israel Júnior Borges do Nascimento	206 0.9×	223 1.1×	134 0.7×	59 0.5×	157 1.5×	47	1.2k
Michelle Schneider	242 1.0×	321 1.5×	218 1.2×	138 1.2×	110 1.0×	36	1.3k
Rahul Sharma	188 0.8×	144 0.7×	175 1.0×	206 1.8×	80 0.7×	75	1.3k
Kristen M.J. Azar	249 1.1×	298 1.4×	165 0.9×	214 1.9×	64 0.6×	53	1.3k
Giridhara R. Babu	214 0.9×	241 1.2×	227 1.3×	62 0.5×	126 1.2×	107	1.4k
Saroj Jayasinghe	206 0.9×	254 1.2×	115 0.6×	116 1.0×	116 1.1×	114	1.4k
Subitha Lakshminarayanan	194 0.8×	197 0.9×	282 1.6×	68 0.6×	46 0.4×	121	1.1k
Antonieta Medina‐Lara	141 0.6×	334 1.6×	113 0.6×	189 1.7×	118 1.1×	60	1.3k
Sudhvir Singh	139 0.6×	297 1.4×	197 1.1×	133 1.2×	127 1.2×	22	1.1k

Countries citing papers authored by Tanu Anand

Since Specialization

Citations

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

Fields of papers citing papers by Tanu Anand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanu Anand

This figure shows the co-authorship network connecting the top 25 collaborators of Tanu Anand. A scholar is included among the top collaborators of Tanu Anand 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 Tanu Anand. Tanu Anand 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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