Manjarí Mukherjee

40 total papers · 882 total citations
29 papers, 656 citations indexed

About

Manjarí Mukherjee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Hematology. According to data from OpenAlex, Manjarí Mukherjee has authored 29 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 6 papers in Hematology. Recurrent topics in Manjarí Mukherjee's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Manjarí Mukherjee is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Manjarí Mukherjee collaborates with scholars based in India, United Kingdom and United States. Manjarí Mukherjee's co-authors include Vijay V. Kakkar, Jasna Kovač, Laura M. Carroll, Dirk T. S. Rijkers, Simone Wielders, Jan Michiels, Jean‐Pierre Cambus, Suzette Beguı́n, H.C. Hemker and Richard Knebel and has published in prestigious journals such as Frontiers in Microbiology, The ISME Journal and Thrombosis and Haemostasis.

In The Last Decade

Manjarí Mukherjee

29 papers receiving 632 citations

Author Peers

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

Author						Papers	Cites
Manjarí Mukherjee	223	117	93	81	64	29	656
Dal Sik Kim	349 1.6×	47 0.4×	83 0.9×	76 0.9×	47 0.7×	48	755
Bogusława Luzak	116 0.5×	77 0.7×	82 0.9×	87 1.1×	58 0.9×	35	633
Mohsen Hassine	103 0.5×	44 0.4×	52 0.6×	75 0.9×	36 0.6×	38	632
Jeffrey S. Day	157 0.7×	54 0.5×	34 0.4×	53 0.7×	44 0.7×	16	647
Miriam Barbanti	166 0.7×	63 0.5×	41 0.4×	162 2.0×	24 0.4×	23	683
Xiaoxia Qiu	197 0.9×	68 0.6×	48 0.5×	57 0.7×	62 1.0×	48	596
Aprilfawn White	292 1.3×	48 0.4×	26 0.3×	42 0.5×	10 0.2×	22	623
Herbert M. Rubinstein	106 0.5×	94 0.8×	43 0.5×	83 1.0×	10 0.2×	25	610
Aldona Siennicka	161 0.7×	21 0.2×	31 0.3×	106 1.3×	16 0.3×	33	592
E. Mazoyer	161 0.7×	148 1.3×	23 0.2×	224 2.8×	48 0.8×	31	722

Countries citing papers authored by Manjarí Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Manjarí Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manjarí Mukherjee

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