Shaharyar

2.7k total citations · 1 hit paper
6 papers, 2.0k citations indexed

About

Shaharyar is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Shaharyar has authored 6 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Surgery. Recurrent topics in Shaharyar's work include Lung Cancer Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Hormonal and reproductive studies (1 paper). Shaharyar is often cited by papers focused on Lung Cancer Diagnosis and Treatment (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Hormonal and reproductive studies (1 paper). Shaharyar collaborates with scholars based in Canada, Pakistan and United States. Shaharyar's co-authors include Frank V. Fossella, Joachim von Pawel, Christopher E. Desch, Klára Szondy, Lawrence Einhorn, U. Gatzemeier, Jose R. Pereira, Miklos Pless, Thomas Müller and Paolo Paoletti and has published in prestigious journals such as Journal of Clinical Oncology, Pakistan Journal of Medical Sciences and Pathology Research International.

In The Last Decade

Shaharyar

6 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Randomized Phase III Trial of Pemetrexed Versus Docetaxel in Patients With Non–Small-Cell Lung Cancer Previously Treated With Chemotherapy

2004 1.9k citations Nasser H. Hanna, Frances A. Shepherd et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shaharyar Canada	5	1.7k	1.5k	347	210	105	6	2.0k
Klára Szondy Hungary	6	1.8k 1.0×	1.6k 1.0×	372 1.1×	204 1.0×	104 1.0×	11	2.1k
Patrick Peterson United States	21	2.2k 1.3×	1.8k 1.2×	472 1.4×	310 1.5×	166 1.6×	55	2.6k
Nadia Chouaki France	19	1.3k 0.8×	1.3k 0.8×	226 0.7×	210 1.0×	200 1.9×	48	1.7k
Richard Eek Australia	9	2.0k 1.2×	2.1k 1.4×	652 1.9×	326 1.6×	155 1.5×	39	2.7k
Cesare Gridelli Italy	18	2.4k 1.4×	2.1k 1.4×	527 1.5×	270 1.3×	179 1.7×	37	2.9k
Pasquale Comella Italy	17	780 0.5×	1.2k 0.8×	249 0.7×	150 0.7×	180 1.7×	55	1.6k
Purvish Parikh India	9	2.1k 1.3×	1.8k 1.2×	521 1.5×	412 2.0×	186 1.8×	21	2.6k
Laurent Gressot United States	6	1.6k 0.9×	1.5k 1.0×	310 0.9×	167 0.8×	90 0.9×	7	1.8k
José Barrueco United States	17	1.1k 0.6×	1.3k 0.9×	465 1.3×	181 0.9×	127 1.2×	36	2.0k
Luca Moscetti Italy	20	873 0.5×	1.1k 0.8×	355 1.0×	361 1.7×	100 1.0×	98	1.6k

Countries citing papers authored by Shaharyar

Since Specialization

Citations

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

Fields of papers citing papers by Shaharyar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaharyar

This figure shows the co-authorship network connecting the top 25 collaborators of Shaharyar. A scholar is included among the top collaborators of Shaharyar 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 Shaharyar. Shaharyar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Hanna, Nasser H., Frances A. Shepherd, Frank V. Fossella, et al.. (2023). Randomized Phase III Trial of Pemetrexed Versus Docetaxel in Patients With Non-Small-Cell Lung Cancer Previously Treated With Chemotherapy. Journal of Clinical Oncology. 41(15). 2682–2690. 8 indexed citations

2.

Mohammad, Shaharyar, † Mohd, et al.. (2013). Application of LC–MS/MS for quantitative analysis of glucocorticoids and stimulants in biological fuids. 3(5). 341–348. 3 indexed citations

3.

Bukhari, Mulazim Hussain, et al.. (2011). Use of Fine-Needle Aspiration in the Evaluation of Breast Lumps. Pathology Research International. 2011. 1–10. 55 indexed citations

4.

Shaharyar, et al.. (2004). Complications after modified radical mastectomy in early breast cancer.. Pakistan Journal of Medical Sciences. 20(2). 4 indexed citations

5.

Hanna, Nasser H., Frances A. Shepherd, Frank V. Fossella, et al.. (2004). Randomized Phase III Trial of Pemetrexed Versus Docetaxel in Patients With Non–Small-Cell Lung Cancer Previously Treated With Chemotherapy. Journal of Clinical Oncology. 22(9). 1589–1597. 1924 indexed citations breakdown →

6.

Malik, Imtiaz A. & Shaharyar. (2002). Comparison of meropenem with ceftazidime as monotherapy of cancer patients with chemotherapy induced febrile neutropenia.. PubMed. 52(1). 15–8. 8 indexed citations

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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