K.M. Kant

7.1k total citations · 2 hit papers
7 papers, 4.6k citations indexed

About

K.M. Kant is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine and Neurology. According to data from OpenAlex, K.M. Kant has authored 7 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Neurology. Recurrent topics in K.M. Kant's work include COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers) and Acute Kidney Injury Research (2 papers). K.M. Kant is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers) and Acute Kidney Injury Research (2 papers). K.M. Kant collaborates with scholars based in Netherlands. K.M. Kant's co-authors include Diederik Gommers, Milou A.M. Stals, Frederikus A. Klok, Menno V. Huisman, Fleur H.J. Kaptein, Nardo J. M. van der Meer, M. Sesmu Arbous, Judith van Paassen, Henrik Endeman and Marieke J.H.A. Kruip and has published in prestigious journals such as Intensive Care Medicine, Thrombosis Research and BMC Nephrology.

In The Last Decade

K.M. Kant

6 papers receiving 4.5k citations

Hit Papers

Incidence of thrombotic complications in critically ill I... 2020 2026 2022 2024 2020 2020 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.M. Kant Netherlands 5 3.6k 2.0k 1.3k 1.1k 425 7 4.6k
Milou A.M. Stals Netherlands 9 3.6k 1.0× 2.0k 1.0× 1.3k 1.0× 1.2k 1.0× 436 1.0× 12 4.7k
Fleur H.J. Kaptein Netherlands 8 3.6k 1.0× 2.0k 1.0× 1.3k 1.0× 1.2k 1.1× 436 1.0× 16 4.7k
Dengju Li China 14 5.7k 1.6× 2.9k 1.5× 1.9k 1.4× 1.4k 1.2× 706 1.7× 65 7.2k
Arno Vanstapel Belgium 13 2.5k 0.7× 1.4k 0.7× 669 0.5× 381 0.3× 410 1.0× 41 4.0k
Marieke J.H.A. Kruip Netherlands 26 3.6k 1.0× 2.0k 1.0× 1.4k 1.0× 2.5k 2.2× 731 1.7× 137 7.1k
Ismaı̈l Elalamy France 32 1.3k 0.4× 739 0.4× 693 0.5× 1.8k 1.6× 343 0.8× 241 4.9k
Grigoris Gerotziafas France 30 1.3k 0.4× 654 0.3× 657 0.5× 1.7k 1.5× 328 0.8× 163 4.3k
Corrado Lodigiani Italy 21 1.4k 0.4× 860 0.4× 556 0.4× 800 0.7× 198 0.5× 58 2.4k
Michiel Coppens Netherlands 29 894 0.3× 482 0.2× 638 0.5× 2.0k 1.8× 373 0.9× 134 4.5k
Marcella C.A. Müller Netherlands 15 918 0.3× 434 0.2× 451 0.3× 508 0.4× 365 0.9× 59 1.8k

Countries citing papers authored by K.M. Kant

Since Specialization
Citations

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

Fields of papers citing papers by K.M. Kant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K.M. Kant

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

All Works

7 of 7 papers shown
1.
Stals, Milou A.M., Marco J.J.H. Grootenboers, Coen van Guldener, et al.. (2021). Risk of thrombotic complications in influenza versus COVID‐19 hospitalized patients. Research and Practice in Thrombosis and Haemostasis. 5(3). 412–420. 44 indexed citations
2.
Klok, Frederikus A., Marieke J.H.A. Kruip, Nardo J. M. van der Meer, et al.. (2020). Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis. Thrombosis Research. 191. 148–150. 1089 indexed citations breakdown →
3.
Klok, Frederikus A., Marieke J.H.A. Kruip, Nardo J. M. van der Meer, et al.. (2020). Incidence of thrombotic complications in critically ill ICU patients with COVID-19. Thrombosis Research. 191. 145–147. 3430 indexed citations breakdown →
4.
Stads, Susanne, K.M. Kant, Margriet F. C. de Jong, et al.. (2019). Predictors of 90-Day Restart of Renal Replacement Therapy after Discontinuation of Continuous Renal Replacement Therapy, a Prospective Multicenter Study. Blood Purification. 48(3). 243–252. 7 indexed citations
5.
Stads, Susanne, K.M. Kant, Margriet F. C. de Jong, et al.. (2019). Predictors of short-term successful discontinuation of continuous renal replacement therapy: results from a prospective multicentre study. BMC Nephrology. 20(1). 129–129. 35 indexed citations
6.
Kant, K.M., et al.. (2015). Dedicated NAVA enteral feeding tube placement complicated by a hydropneumothorax but producing a correct EAdi signal. Intensive Care Medicine. 42(2). 271–272. 1 indexed citations
7.
Kant, K.M., Remco S. Djamin, Huub Belderbos, & Bart van den Berg. (2014). Acute respiratory failure due to COPD: Invasive mechanical ventilation or not?. Nederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank. 987–994.

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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