K.M. Kant

6 papers receiving 4.5k citations

Hit Papers

Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis 2020 · 1.1k citations
1.1k0+2+4Years since publication10002.0k3.0k

Peers

K.M. Kant
Comparison fields: 5 of 116
  • Internal Medicine 1.1k
  • Infectious Diseases 3.6k
  • Neurology 2.0k
  • Critical Care and Intensive Care Medicine 290
  • Oncology 1.3k
Replace Milou A.M. Stals with:
Milou A.M. Stals Netherlands
Fleur H.J. Kaptein Netherlands
Dengju Li China
Marieke J.H.A. Kruip Netherlands
Arno Vanstapel Belgium
Corrado Lodigiani Italy
Ismaı̈l Elalamy France
Grigoris Gerotziafas France
Michiel Coppens Netherlands
Marcella C.A. Müller Netherlands
K.M. Kant relative to Milou A.M. Stals Netherlands Milou A.M. Stals's profile →
Citations per field
00.5×1.5×
Milou A.M. Stals · 1×
Citations per year

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-authors

The 25 scholars most cited alongside K.M. Kant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K.M. Kant Line = papers co-authored together K.M. Kant links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Incidence of thrombotic complications in critically ill ICU patients with COVID-19
Hit paper breakdown →
20203430
2
Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis
Hit paper breakdown →
20201089
3 202144
4 201935
5 20197
6 20151
7
Acute respiratory failure due to COPD: Invasive mechanical ventilation or not?
20140

About K.M. Kant

K.M. Kant is a scholar working on Infectious Diseases, Critical Care and Intensive Care Medicine, Neurology, Nephrology and Internal Medicine, having authored 7 papers that have together received 4.6k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (3 papers), COVID-19 Clinical Research Studies (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Acute Kidney Injury Research (2 papers), Family and Patient Care in Intensive Care Units (1 paper), Respiratory Support and Mechanisms (1 paper), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper) and Intensive Care Unit Cognitive Disorders (1 paper). The work is most often cited by research in Internal Medicine (1.1k citations), Infectious Diseases (3.6k citations), Neurology (2.0k citations), Critical Care and Intensive Care Medicine (290 citations) and Oncology (1.3k citations). K.M. Kant has collaborated with scholars based in Netherlands. Frequent co-authors include Diederik Gommers, Fleur H.J. Kaptein, Frederikus A. Klok, Milou A.M. Stals, Menno V. Huisman, Marieke J.H.A. Kruip, Judith van Paassen, Nardo J. M. van der Meer, Henrik Endeman and M. Sesmu Arbous. Their work appears in journals such as Thrombosis Research, Intensive Care Medicine, Blood Purification, Research and Practice in Thrombosis and Haemostasis and BMC Nephrology.

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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