Rajiv Jha

75 total papers · 509 total citations
33 papers, 384 citations indexed

About

Rajiv Jha is a scholar working on Surgery, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Rajiv Jha has authored 33 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 9 papers in Epidemiology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Rajiv Jha's work include Pancreatitis Pathology and Treatment (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Rajiv Jha is often cited by papers focused on Pancreatitis Pathology and Treatment (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Pancreatic and Hepatic Oncology Research (5 papers). Rajiv Jha collaborates with scholars based in Nepal, China and India. Rajiv Jha's co-authors include Qingyong Ma, Huanchen Sha, Zheng Wang, Lei Zhang, Liancai Wang, Fenling Fan, Yan Zhao, Hui Xue, Ma Wei and Zheng Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Digestive Diseases and Sciences.

In The Last Decade

Rajiv Jha

26 papers receiving 371 citations

Author Peers

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

Author						Papers	Cites
Rajiv Jha	266	76	67	63	36	33	384
C. I. Backhouse	86 0.3×	53 0.7×	100 1.5×	65 1.0×	52 1.4×	30	373
Roberto Peromingo	211 0.8×	62 0.8×	26 0.4×	62 1.0×	73 2.0×	21	439
Necmettin Koçak	92 0.3×	79 1.0×	83 1.2×	24 0.4×	40 1.1×	39	391
Takashi Nagai	164 0.6×	24 0.3×	93 1.4×	62 1.0×	53 1.5×	35	344
Guiping Chen	89 0.3×	86 1.1×	81 1.2×	22 0.3×	45 1.3×	34	332
Zbigniew Wierzbicki	149 0.6×	65 0.9×	35 0.5×	13 0.2×	45 1.3×	27	408
Foong Way David Tai	138 0.5×	54 0.7×	40 0.6×	28 0.4×	33 0.9×	23	422
Farid Ljuca	128 0.5×	75 1.0×	40 0.6×	20 0.3×	72 2.0×	50	389
Bernard D. Rosenak	221 0.8×	57 0.8×	63 0.9×	19 0.3×	14 0.4×	26	410
Yuji Miyoshi	68 0.3×	96 1.3×	24 0.4×	94 1.5×	33 0.9×	37	444

Countries citing papers authored by Rajiv Jha

Since Specialization

Citations

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

Fields of papers citing papers by Rajiv Jha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajiv Jha

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