Nehal Khanna

100 total papers · 700 total citations
51 papers, 392 citations indexed

About

Nehal Khanna is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Nehal Khanna has authored 51 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 22 papers in Pulmonary and Respiratory Medicine and 14 papers in Neurology. Recurrent topics in Nehal Khanna's work include Sarcoma Diagnosis and Treatment (17 papers), Lymphoma Diagnosis and Treatment (17 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Nehal Khanna is often cited by papers focused on Sarcoma Diagnosis and Treatment (17 papers), Lymphoma Diagnosis and Treatment (17 papers) and CNS Lymphoma Diagnosis and Treatment (8 papers). Nehal Khanna collaborates with scholars based in India, Canada and United Kingdom. Nehal Khanna's co-authors include Girish Chinnaswamy, Sajid Qureshi, Tushar Vora, Siddharth Laskar, Siddhartha Laskar, Mukta Ramadwar, Seema Kembhavi, Umesh Mahantshetty, Jamema Swamidas and Shyam Kishore Shrivastava and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Nehal Khanna

44 papers receiving 387 citations

Author Peers

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

Author						Papers	Cites
Nehal Khanna	163	118	84	77	73	51	392
D.N. Sharma	196 1.2×	80 0.7×	57 0.7×	25 0.3×	99 1.4×	33	387
A Bataillard	126 0.8×	68 0.6×	97 1.2×	81 1.1×	166 2.3×	30	397
Naohiro Makise	219 1.3×	63 0.5×	40 0.5×	25 0.3×	128 1.8×	38	391
Ailbhe C. O’Neill	204 1.3×	104 0.9×	24 0.3×	85 1.1×	94 1.3×	30	432
Tadamasa Yasunaga	103 0.6×	108 0.9×	45 0.5×	40 0.5×	36 0.5×	27	349
Emilie Bogart	238 1.5×	105 0.9×	39 0.5×	23 0.3×	105 1.4×	35	429
Andrea Galuppi	142 0.9×	151 1.3×	39 0.5×	73 0.9×	160 2.2×	41	438
G.K. Rath	108 0.7×	146 1.2×	31 0.4×	93 1.2×	85 1.2×	34	334
Kota Washimi	163 1.0×	85 0.7×	28 0.3×	21 0.3×	99 1.4×	50	352
Hideki Akamatsu	174 1.1×	158 1.3×	32 0.4×	26 0.3×	50 0.7×	39	419

Countries citing papers authored by Nehal Khanna

Since Specialization

Citations

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

Fields of papers citing papers by Nehal Khanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nehal Khanna

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