Seema Kacker

23 papers receiving 401 citations

Peers

Seema Kacker
Comparison fields: 5 of 56
  • Hematology 180
  • Biochemistry 80
  • Genetics 106
  • Management of Technology and Innovation 51
  • Nephrology 43
Replace Camila Caram‐Deelder with:
Camila Caram‐Deelder Netherlands
P Isarangkura Thailand
Raman Kataria India
Christopher Wells United States
Markus Sagmeister Switzerland
Meghan Fitzpatrick United States
Lisa K. Vande Vusse United States
Lynda Hudon Canada
K.K. Venkat United States
Jeffrey D. Sperling United States
Seema Kacker relative to Camila Caram‐Deelder Netherlands Camila Caram‐Deelder's profile →
Citations per field
00.5×6.1×
Camila Caram‐Deelder · 1×
Citations per year

Countries citing papers authored by Seema Kacker

Since Specialization
Citations

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

Fields of papers citing papers by Seema Kacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201360
2 201354
3 201741
4 201540
5 201233
6 201327
7 201426
8 201519
9 201719
10 201917
11 201316
12 202012
13 201310
14 20138
15 20137
16 20206
17 20155
18 20134
19 20163
20 20212

About Seema Kacker

Seema Kacker is a scholar working on Hematology, Biochemistry, Management of Technology and Innovation, Economics and Econometrics and Surgery, having authored 23 papers that have together received 413 indexed citations. Recurring topics across this work include Blood transfusion and management (6 papers), Blood groups and transfusion (5 papers), Blood donation and transfusion practices (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Healthcare Policy and Management (4 papers), Urologic and reproductive health conditions (4 papers), Genital Health and Disease (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Hematology (180 citations), Biochemistry (80 citations), Genetics (106 citations), Management of Technology and Innovation (51 citations) and Nephrology (43 citations). Seema Kacker has collaborated with scholars based in United States, Myanmar and Cameroon. Frequent co-authors include Aaron A.R. Tobian, Kevin D. Frick, Paul M. Ness, Thomas C. Quinn, Karen E. King, William Savage, R. Sue Shirey, Eric A. Gehrie, Charlotte A. Gaydos and Evan M. Bloch. Their work appears in journals such as Transfusion, Health Economics, JAIDS Journal of Acquired Immune Deficiency Syndromes, Injury and The Annals of Thoracic Surgery.

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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