I. Witt

1.2k citations
61 papers · 782 · h-index 13

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 2%
    • Blood Coagulation and Thrombosis Mechanisms
    • Hemophilia Treatment and Research

Papers in

I. Witt

52 papers receiving 710 citations

Peers

I. Witt
Comparison fields: 5 of 82
  • Internal Medicine 117
  • Hematology 346
  • Genetics 86
  • Pulmonary and Respiratory Medicine 240
  • Critical Care and Intensive Care Medicine 34
Replace H. Niessner with:
H. Niessner Austria
Jo Franssen Netherlands
Harry Lander Australia
J.J. Veltkamp Netherlands
Mervyn A. Sahud United States
Stefano Lancellotti Italy
Fritz Reinhard Matthias Germany
Neha Gupta India
Edward Adelson United States
Robert Card Canada
I. Witt relative to H. Niessner Austria H. Niessner's profile →
Citations per field
00.5×12×
H. Niessner · 1×
Citations per year

Countries citing papers authored by I. Witt

Since Specialization
Citations

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

Fields of papers citing papers by I. Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I. Witt, 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 I. Witt Line = papers co-authored together I. Witt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995203
2 195572
3 195560
4 199051
5 196949
6 197048
7 198537
8 198427
9 199221
10 197920
11 197518
12 198715
13 196614
14 195612
15 198312
16 196810
17 19858
18
Test systems with synthetic peptide substrates in haemostaseology.
19918
19 19557
20 19736

About I. Witt

I. Witt is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Hematology, Molecular Biology and Genetics, having authored 61 papers that have together received 782 indexed citations. Recurring topics across this work include Blood properties and coagulation (14 papers), Erythrocyte Function and Pathophysiology (7 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Vitamin K Research Studies (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Internal Medicine (117 citations), Hematology (346 citations), Genetics (86 citations), Pulmonary and Respiratory Medicine (240 citations) and Critical Care and Intensive Care Medicine (34 citations). I. Witt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include H. H. Seydewitz, Hans‐Michael Müller, W. Künzer, H. Bartels, Ronny Beer, H. Müller, J S Greengard, Núria Sala, George L. Long and P H Reitsma. Their work appears in journals such as Thrombosis Research, Journal of Molecular Medicine, Thrombosis and Haemostasis, Pflügers Archiv - European Journal of Physiology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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