Ankit Mathur

37 papers receiving 272 citations

Peers

Ankit Mathur
Comparison fields: 5 of 58
  • Management of Technology and Innovation 46
  • Biochemistry 19
  • Hepatology 22
  • Transplantation 7
  • Hematology 27
Replace W. Weichert with:
W. Weichert Germany
Élise Vuille‐Lessard Canada
Jessica Jacobson United States
Kathryn Robinson Australia
Paola Magistroni Italy
Zeeba Shamim Jairajpuri India
Alexander J. Kovalic United States
Moira Thomas United Kingdom
O. Caubet France
I Montserrat Spain
Ankit Mathur relative to W. Weichert Germany W. Weichert's profile →
Citations per field
00.5×10×20×29×
W. Weichert · 1×
Citations per year

Countries citing papers authored by Ankit Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200749
2 201619
3 197618
4 197516
5 200714
6 201214
7 202012
8 201812
9 201111
10 200810
11 201210
12 201210
13 201310
14 20179
15 20178
16 20188
17 20137
18 20177
19 20126
20 20205

About Ankit Mathur

Ankit Mathur is a scholar working on Management of Technology and Innovation, Surgery, Neurology, Epidemiology and Hematology, having authored 45 papers that have together received 287 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (8 papers), Blood groups and transfusion (5 papers), Hepatitis B Virus Studies (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Hepatitis C virus research (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Effects of Radiation Exposure (3 papers). The work is most often cited by research in Management of Technology and Innovation (46 citations), Biochemistry (19 citations), Hepatology (22 citations), Transplantation (7 citations) and Hematology (27 citations). Ankit Mathur has collaborated with scholars based in India, Pakistan and United States. Frequent co-authors include Sachin Talwar, Shiv Kumar Choudhary, Latha Jagannathan, Arkalgud Sampath Kumar, Rajvir Singh, Amit Agrawal, Jyotindu Debnath, Nikumani Choudhury, Cees Th. Smit Sibinga and P. B. Desai. Their work appears in journals such as The Annals of Thoracic Surgery, Cellular and Molecular Life Sciences, Transfusion Medicine, Die Naturwissenschaften and International Journal of Radiation Biology.

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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