Kapil Gupta

477 total citations
22 papers, 288 citations indexed

About

Kapil Gupta is a scholar working on Oncology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Kapil Gupta has authored 22 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Kapil Gupta's work include Cutaneous Melanoma Detection and Management (7 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kapil Gupta is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Kapil Gupta collaborates with scholars based in India, United States and France. Kapil Gupta's co-authors include Raymond L. Barnhill, Randy H. Moss, William V. Stoecker, R. Joe Stanley, Garron J. Solomon, Martín C. Mihm, Cynthia M. Magro, A. Neil Crowson, Michael J. Walker and Joseph M. Malters and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Dermatology and Cytokine.

In The Last Decade

Kapil Gupta

18 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kapil Gupta India 9 208 83 53 49 43 22 288
J.A. Avilés-Izquierdo Spain 11 293 1.4× 95 1.1× 124 2.3× 140 2.9× 58 1.3× 49 445
Pascale Guitera Australia 7 169 0.8× 30 0.4× 60 1.1× 58 1.2× 28 0.7× 16 197
Mackie United Kingdom 6 164 0.8× 48 0.6× 108 2.0× 79 1.6× 28 0.7× 7 297
Alana Durack United Kingdom 5 161 0.8× 44 0.5× 73 1.4× 88 1.8× 22 0.5× 14 228
Shunichi Jinnai Japan 10 245 1.2× 158 1.9× 47 0.9× 79 1.6× 79 1.8× 21 455
B. Aika Shoo United States 6 210 1.0× 34 0.4× 154 2.9× 54 1.1× 99 2.3× 10 422
Zachary Wolner United States 9 234 1.1× 42 0.5× 128 2.4× 130 2.7× 90 2.1× 21 358
Francesca Arezzo Italy 12 145 0.7× 81 1.0× 42 0.8× 78 1.6× 79 1.8× 65 514
Filomena Barbato Italy 8 344 1.7× 67 0.8× 165 3.1× 202 4.1× 39 0.9× 13 482
Alicia Barreiro Spain 11 230 1.1× 28 0.3× 99 1.9× 107 2.2× 56 1.3× 33 310

Countries citing papers authored by Kapil Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Gupta

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

All Works

20 of 20 papers shown
1.
Gupta, Anunay, et al.. (2024). Role of interleukin-6, serum ferritin, and d-dimer in hospitalized COVID-19 patients. Cytokine. 184. 156776–156776.
2.
Gupta, Kapil, et al.. (2023). COVID and Perioperative Considerations. Journal of Cardiac Critical Care TSS. 7. 17–20. 1 indexed citations
3.
Kumar, Nitesh, et al.. (2022). Telmisartan-induced angioedema. Journal of Family Medicine and Primary Care. 11(7). 4026–4028.
4.
Gupta, Kapil, et al.. (2022). Prevalence, Determinants and Clinical Significance of Cardiac Troponin-I Elevation among Individuals with Hypertensive Emergency: A Prospective Observational Study. Indian Journal of Critical Care Medicine. 26(7). 786–790. 1 indexed citations
5.
Bhandari, Sudhir, et al.. (2021). Gain of Function Research: the Clairvoyant Lens on Pandemics. SHILAP Revista de lepidopterología. 28(3). 269–274.
6.
Bhandari, Sudhir, et al.. (2021). Independent role of CT chest scan in COVID-19 prognosis: Evidence from the machine learning classification. SHILAP Revista de lepidopterología. 52(4). 273–278. 2 indexed citations
7.
Bhandari, Sudhir, Ajeet Singh, Raman Sharma, et al.. (2020). Clinico-Radiological Evaluation of COVID-19 Pneumonia and Its Correlation with USG Chest: Single Centre Study at SMS Hospital, Jaipur. SSRN Electronic Journal. 1 indexed citations
8.
Bhandari, Sudhir, Raman Sharma, Sourav Banerjee, et al.. (2020). A preliminary clinico-epidemiological portrayal of COVID-19 pandemic at a premier medical institution of North India. Annals of Thoracic Medicine. 15(3). 146–146. 8 indexed citations
9.
Bhandari, Sudhir, et al.. (2020). A multistate ecological study comparing evolution of cumulative cases (trends) in top eight COVID-19 hit Indian states with regression modeling. International Journal of Academic Medicine. 6(2). 91–91. 6 indexed citations
10.
Bhandari, Sudhir, et al.. (2020). Logistic regression analysis to predict mortality risk in COVID-19 patients from routine hematologic parameters. Ibnosina Journal of Medicine and Biomedical Sciences. 12(2). 123–129. 23 indexed citations
11.
Gupta, Rashmi, et al.. (2015). Auditing of prescriptions in relation to diarrhea in children below 5 years of age: a multicenter study. International Journal of Basic & Clinical Pharmacology. 1208–1213. 2 indexed citations
12.
Berger, Imre, et al.. (2013). The MultiBac Protein Complex Production Platform at the EMBL. Journal of Visualized Experiments. 8 indexed citations
13.
Moss, Randy H., R. Joe Stanley, William V. Stoecker, et al.. (2010). Concentric decile segmentation of white and hypopigmented areas in dermoscopy images of skin lesions allows discrimination of malignant melanoma. Computerized Medical Imaging and Graphics. 35(2). 148–154. 31 indexed citations
14.
Magro, Cynthia M., A. Neil Crowson, Martín C. Mihm, et al.. (2010). The dermal-based borderline melanocytic tumor: A categorical approach. Journal of the American Academy of Dermatology. 62(3). 469–479. 33 indexed citations
15.
Stoecker, William V., Kapil Gupta, Raeed H. Chowdhury, et al.. (2009). Detection of basal cell carcinoma using color and histogram measures of semitranslucent areas. Skin Research and Technology. 15(3). 283–287. 20 indexed citations
16.
Gupta, Kapil, William V. Stoecker, Harold Rabinovitz, et al.. (2009). Analysis of Globule Types in Malignant Melanoma. Archives of Dermatology. 145(11). 1245–51. 15 indexed citations
17.
Barnhill, Raymond L. & Kapil Gupta. (2009). Unusual variants of malignant melanoma. Clinics in Dermatology. 27(6). 564–587. 44 indexed citations
18.
Gupta, Kapil, R. Joe Stanley, William V. Stoecker, et al.. (2008). Fuzzy logic techniques for blotch feature evaluation in dermoscopy images. Computerized Medical Imaging and Graphics. 33(1). 50–57. 22 indexed citations
19.
Gupta, Kapil. (2008). Deciphering spongiotic dermatitides. Indian Journal of Dermatology Venereology and Leprology. 74(5). 523–523. 4 indexed citations
20.
Stoecker, William V., et al.. (2005). Detection of asymmetric blotches (asymmetric structureless areas) in dermoscopy images of malignant melanoma using relative color. Skin Research and Technology. 11(3). 179–184. 53 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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