Nandini Hadker

93 total papers · 1.0k total citations
46 papers, 753 citations indexed

About

Nandini Hadker is a scholar working on Surgery, Nephrology and Epidemiology. According to data from OpenAlex, Nandini Hadker has authored 46 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Nephrology and 8 papers in Epidemiology. Recurrent topics in Nandini Hadker's work include Gout, Hyperuricemia, Uric Acid (6 papers), Diverticular Disease and Complications (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Nandini Hadker is often cited by papers focused on Gout, Hyperuricemia, Uric Acid (6 papers), Diverticular Disease and Complications (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Nandini Hadker collaborates with scholars based in United States, Switzerland and United Kingdom. Nandini Hadker's co-authors include Silvia Weiser, T Muraleedharan, Sudhir Sharma, James M. Sanders, Hjalmar Lagast, B.L. Clarke, James Creeden, William Strauss, John A. Glaspy and Naomi V. Dahl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Gastroenterology.

In The Last Decade

Nandini Hadker

43 papers receiving 713 citations

Author Peers

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

Author						Papers	Cites
Nandini Hadker	155	143	133	96	93	46	753
Jun Wang	20 0.1×	91 0.6×	58 0.4×	29 0.3×	123 1.3×	82	891
Tiny Hoekstra	59 0.4×	104 0.7×	331 2.5×	53 0.6×	75 0.8×	43	885
Jing Wen	65 0.4×	48 0.3×	33 0.2×	51 0.5×	59 0.6×	43	643
Yue Wu	19 0.1×	172 1.2×	28 0.2×	106 1.1×	136 1.5×	43	855
Robert M. Heyssel	51 0.3×	48 0.3×	26 0.2×	62 0.6×	76 0.8×	25	655
Maria Papadimitriou	24 0.2×	65 0.5×	61 0.5×	13 0.1×	31 0.3×	35	735
Hoo Jae Hann	64 0.4×	166 1.2×	183 1.4×	40 0.4×	87 0.9×	33	879
Yodit Seifu	36 0.2×	349 2.4×	23 0.2×	38 0.4×	34 0.4×	40	893
D. C. Rao	52 0.3×	49 0.3×	39 0.3×	66 0.7×	103 1.1×	42	840
Giuseppe Marano	67 0.4×	194 1.4×	20 0.2×	14 0.1×	47 0.5×	81	835

Countries citing papers authored by Nandini Hadker

Since Specialization

Citations

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

Fields of papers citing papers by Nandini Hadker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandini Hadker

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