Arpit A. Almal

482 total citations
7 papers, 212 citations indexed

About

Arpit A. Almal is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Arpit A. Almal has authored 7 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Oncology. Recurrent topics in Arpit A. Almal's work include Bladder and Urothelial Cancer Treatments (3 papers), Molecular Biology Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Arpit A. Almal is often cited by papers focused on Bladder and Urothelial Cancer Treatments (3 papers), Molecular Biology Techniques and Applications (2 papers) and Bioinformatics and Genomic Networks (2 papers). Arpit A. Almal collaborates with scholars based in United States, Netherlands and Italy. Arpit A. Almal's co-authors include William P. Worzel, David W. Fry, Peter F. Lenehan, Arul M. Chinnaiyan, Jianjun Yu, Richard J. Côté, Anirban P. Mitra, Saravana M. Dhanasekaran, Jindan Yu and Debashis Ghosh and has published in prestigious journals such as Cancer, The Journal of Urology and The International Journal of Biochemistry & Cell Biology.

In The Last Decade

Arpit A. Almal

7 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arpit A. Almal United States	6	94	54	46	38	37	7	212
William P. Worzel United States	6	92 1.0×	63 1.2×	49 1.1×	40 1.1×	37 1.0×	10	216
Noor Khalid Malaysia	11	102 1.1×	39 0.7×	53 1.2×	35 0.9×	14 0.4×	22	263
Sungwon Jung South Korea	10	111 1.2×	21 0.4×	65 1.4×	55 1.4×	24 0.6×	25	255
Zhan Hua China	9	131 1.4×	30 0.6×	73 1.6×	54 1.4×	30 0.8×	23	266
Jiande Wu United States	9	116 1.2×	96 1.8×	61 1.3×	55 1.4×	12 0.3×	24	283
Frank Meineke Germany	7	127 1.4×	22 0.4×	98 2.1×	19 0.5×	12 0.3×	21	340
Alexander Tong United States	10	180 1.9×	28 0.5×	82 1.8×	36 0.9×	15 0.4×	31	320
Xingru Li China	11	124 1.3×	26 0.5×	130 2.8×	51 1.3×	15 0.4×	26	314
Miaomiao Tan China	6	245 2.6×	48 0.9×	52 1.1×	110 2.9×	13 0.4×	11	388
John Sharko United States	6	76 0.8×	113 2.1×	53 1.2×	83 2.2×	22 0.6×	8	314

Countries citing papers authored by Arpit A. Almal

Since Specialization

Citations

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

Fields of papers citing papers by Arpit A. Almal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit A. Almal

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

All Works

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7 of 7 papers shown

1.

Bartsch, Georg, Anirban P. Mitra, Arpit A. Almal, et al.. (2015). Use of Artificial Intelligence and Machine Learning Algorithms with Gene Expression Profiling to Predict Recurrent Nonmuscle Invasive Urothelial Carcinoma of the Bladder. The Journal of Urology. 195(2). 493–498. 43 indexed citations

2.

Lenehan, Peter F., Lisa A. Boardman, Douglas L. Riegert‐Johnson, et al.. (2012). Generation and external validation of a tumor‐derived 5‐gene prognostic signature for recurrence of lymph node‐negative, invasive colorectal carcinoma. Cancer. 118(21). 5234–5244. 31 indexed citations

3.

Yzerman, Ed P. F., Jeroen W. Den Boer, Martien P. M. Caspers, et al.. (2010). Comparative genome analysis of a large Dutch Legionella pneumophila strain collection identifies five markers highly correlated with clinical strains. BMC Genomics. 11(1). 433–433. 10 indexed citations

4.

Worzel, William P., Jianjun Yu, Arpit A. Almal, & Arul M. Chinnaiyan. (2008). Applications of genetic programming in cancer research. The International Journal of Biochemistry & Cell Biology. 41(2). 405–413. 16 indexed citations

5.

Yu, Jianjun, Jindan Yu, Arpit A. Almal, et al.. (2007). Feature Selection and Molecular Classification of Cancer Using Genetic Programming. Neoplasia. 9(4). 292–IN3. 53 indexed citations

6.

Mitra, Anirban P., Arpit A. Almal, Ben George, et al.. (2006). The use of genetic programming in the analysis of quantitative gene expression profiles for identification of nodal status in bladder cancer. BMC Cancer. 6(1). 159–159. 58 indexed citations

7.

Almal, Arpit A., Anirban P. Mitra, Ram H. Datar, et al.. (2006). Using genetic programming to classify node positive patients in bladder cancer. 239–246. 1 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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