Aseem Kumar

14.8k total citations · 3 hit papers
69 papers, 9.5k citations indexed

About

Aseem Kumar is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Aseem Kumar has authored 69 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 22 papers in Molecular Biology and 18 papers in Immunology. Recurrent topics in Aseem Kumar's work include Sepsis Diagnosis and Treatment (21 papers), Immune Response and Inflammation (9 papers) and interferon and immune responses (7 papers). Aseem Kumar is often cited by papers focused on Sepsis Diagnosis and Treatment (21 papers), Immune Response and Inflammation (9 papers) and interferon and immune responses (7 papers). Aseem Kumar collaborates with scholars based in Canada, United States and Saudi Arabia. Aseem Kumar's co-authors include Joseph E. Parrillo, Anand Kumar, Bruce Light, Sergio Zanotti, Daniel Feinstein, Leo Taiberg, Kenneth E. Wood, Satendra Sharma, Mary Cheang and David P. Gurka and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Aseem Kumar

68 papers receiving 9.3k citations

Hit Papers

Duration of hypotension before initiation of effective an... 1996 2026 2006 2016 2006 2009 1996 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aseem Kumar Canada 34 4.9k 1.8k 1.6k 1.5k 1.2k 69 9.5k
Anand Kumar Canada 47 6.5k 1.3× 2.0k 1.1× 2.4k 1.5× 766 0.5× 728 0.6× 138 11.3k
Robert L. Danner United States 52 4.3k 0.9× 676 0.4× 1.5k 0.9× 2.3k 1.5× 2.9k 2.5× 193 12.2k
Leonard Leibovici Israel 68 6.5k 1.3× 2.7k 1.5× 1.1k 0.7× 1.2k 0.8× 549 0.5× 340 15.8k
Ignacio Martín‐Loeches Ireland 56 7.0k 1.4× 731 0.4× 4.1k 2.5× 960 0.6× 801 0.7× 369 12.9k
Frank M. Brunkhorst Germany 51 5.7k 1.2× 804 0.5× 2.8k 1.7× 811 0.5× 1.2k 1.0× 183 10.1k
Pierre‐François Laterre Belgium 50 6.4k 1.3× 594 0.3× 2.7k 1.6× 1.0k 0.7× 1.5k 1.3× 182 12.8k
Jérôme Pugin Switzerland 56 4.7k 0.9× 684 0.4× 3.0k 1.8× 2.0k 1.3× 4.5k 3.8× 183 14.0k
André C. Kalil United States 44 5.0k 1.0× 584 0.3× 2.6k 1.6× 637 0.4× 689 0.6× 169 9.1k
Anthony F. Suffredini United States 50 3.2k 0.6× 791 0.4× 825 0.5× 1.4k 0.9× 1.9k 1.6× 134 9.3k
Ricard Ferrer Spain 43 3.8k 0.8× 580 0.3× 2.0k 1.2× 540 0.4× 473 0.4× 237 7.4k

Countries citing papers authored by Aseem Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Aseem Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aseem Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Aseem Kumar. A scholar is included among the top collaborators of Aseem Kumar 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 Aseem Kumar. Aseem Kumar 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.
Tharmalingam, Sujeenthar, et al.. (2024). C5a Induces Inflammatory Signaling and Apoptosis in PC12 Cells through C5aR-Dependent Signaling: A Potential Mechanism for Adrenal Damage in Sepsis. International Journal of Molecular Sciences. 25(19). 10673–10673. 2 indexed citations
2.
Kumar, Aseem, et al.. (2024). Current Concepts and Recent Updates of Optical Biometry- A Comprehensive Review. Clinical ophthalmology. Volume 18. 1191–1206. 3 indexed citations
3.
Kumar, Aseem, et al.. (2022). Microaaray Analysis of Differential Gene Expression Profiles of Human Adult Cardiac Myocytes Challenged with Non-Self RNA. International Journal of Current Microbiology and Applied Sciences. 11(10). 17–32.
4.
Zerbib, Yoann, Maryam Shojaei, Adrienne F. A. Meyers, et al.. (2020). Pathway mapping of leukocyte transcriptome in influenza patients reveals distinct pathogenic mechanisms associated with progression to severe infection. BMC Medical Genomics. 13(1). 28–28. 12 indexed citations
5.
Nha, Kyung Wook, et al.. (2019). Medial patellofemoral ligament reconstruction using an autograft or allograft for patellar dislocation: a systematic review. Knee Surgery and Related Research. 31(1). 8–8. 17 indexed citations
6.
Leligdowicz, Aleksandra, Peter Dodek, Monica Norena, et al.. (2014). Association between Source of Infection and Hospital Mortality in Patients Who Have Septic Shock. American Journal of Respiratory and Critical Care Medicine. 189(10). 1204–1213. 179 indexed citations
7.
Sood, Manish M., Claudio Rigatto, Navdeep Tangri, et al.. (2014). Non-pulmonary infections but not specific pathogens are associated with increased risk of AKI in septic shock. Intensive Care Medicine. 40(8). 1080–1088. 9 indexed citations
8.
Rimmer, Emily, Anand Kumar, Steve Doucette, et al.. (2012). Activated protein C and septic shock. Critical Care Medicine. 40(11). 2974–2981. 20 indexed citations
9.
Kollef, Marin H., Scott T. Micek, Naomi Hampton, Joshua A. Doherty, & Aseem Kumar. (2012). Septic Shock Attributed to Candida Infection: Importance of Empiric Therapy and Source Control. Clinical Infectious Diseases. 54(12). 1739–1746. 335 indexed citations
10.
Paul, M., Mazen Saleh, Ravin Narain, et al.. (2011). Septic sera induces apoptosis and DNA fragmentation factor 40 activation in fibroblasts. Biochemical and Biophysical Research Communications. 412(2). 260–265. 6 indexed citations
11.
Kumar, Anand, Ryan Zarychanski, Bruce Light, et al.. (2010). Early combination antibiotic therapy yields improved survival compared with monotherapy in septic shock: A propensity-matched analysis*. Critical Care Medicine. 38(9). 1773–1785. 302 indexed citations
12.
Halwani, Majed, Zacharias E. Suntres, Misagh Alipour, et al.. (2008). Liposomal bismuth-ethanedithiol formulation enhances antimicrobial activity of tobramycin. International Journal of Pharmaceutics. 358(1-2). 278–284. 33 indexed citations
13.
Aghai, Zubair H., Judy Saslow, Tarek Nakhla, et al.. (2007). Angiopoietin 2 concentrations in infants developing bronchopulmonary dysplasia: attenuation by dexamethasone. Journal of Perinatology. 28(2). 149–155. 33 indexed citations
15.
Kumar, Anand, Daniel Roberts, Kenneth E. Wood, et al.. (2006). Duration of hypotension before initiation of effective antimicrobial therapy is the critical determinant of survival in human septic shock*. Critical Care Medicine. 34(6). 1589–1596. 4125 indexed citations breakdown →
16.
Kumar, Aseem, et al.. (2005). Studies on reversal of clinico-physiological effects of xylazine with yohimbine in dogs. Indian Journal of Veterinary Surgery. 26(1). 39–40. 1 indexed citations
18.
Kumar, Anand, et al.. (2001). Myocardial dysfunction in septic shock: Part II. Role of cytokines and nitric oxide. Journal of Cardiothoracic and Vascular Anesthesia. 15(4). 485–511. 66 indexed citations
19.
20.
Kumar, Aseem, et al.. (1996). Tumor necrosis factor alpha and interleukin 1beta are responsible for in vitro myocardial cell depression induced by human septic shock serum.. The Journal of Experimental Medicine. 183(3). 949–958. 614 indexed citations breakdown →

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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